Remote 💻 Development Jobs

Hyperskill is an educational platform that helps people build real computer science skills by learning through practice. One of our core product features is a direct integration with JetBrains' IDE — learners can solve coding tasks inside their real development environment.

What You'll Do

• Maintain and improve an existing JetBrains IDE plugin
• Fix bugs and issues reported by users and the support team
• Keep the plugin compatible with new JetBrains IDE versions
• Improve stability, usability, and overall developer experience
• Implement new features and improvements

What We're Looking For

• Experience with Kotlin or Java and readiness to work with the Kotlin stack
• Extensive AI and vibe coding experience to navigate through the IntelliJ Plugin SDK
• Comfortable working independently without very detailed technical specification

Nice to Have

• Experience with JetBrains Platform SDK
• Experience developing JetBrains IDE plugins (commercial or personal)

What We Offer

• Contractor agreement with a US-registered legal entity
• 100% remote — work from anywhere in the world
• Competitive salary in USD
• Flexible part-time or full-time collaboration
• Meaningful product impact

Hiring Process

1. HR Interview — a quick intro call
2. Test Task — a real task from our actual workflow (compensated if you join)
3. Team Interview — a final chat with the team

We build and fund fast growing ventures for safe access to psychedelics and progressive mental health care. Pink Elephant exists to build the companies that will steer the revolution in mental health.

The Role

We are looking for a designer who owns the full stack of how a product feels — from first tap to long-term habit. Someone who creates products which build relationships with users and yet obsesses over conversion funnels and retention curves as much as UX and UI.

Responsibilities

• Brand & product vibe: define and protect a distinct visual and emotional identity
• Vibe-coding & rapid prototyping: use AI-assisted code tools (v0, Cursor, Bolt, etc.) to build interactive prototypes and ship real UI
• End-to-end product design: own the full design process from insight to shipped screen
• Conversion architecture: design onboarding, paywalls, and activation flows with measurable lift
• Design systems: maintain a living component library that scales
• User research & feedback loops: run lightweight qualitative sessions and close the loop with design decisions

What You Bring

• Conversion-aware design — you understand funnels, drop-off, and what makes someone tap "subscribe"
• Retention-first thinking — you design for week 2 and month 3
• Vibe-coding fluency — comfortable using AI tools to generate and iterate real UI code
• Strong design POV — your work has a recognizable creative signature
• Mobile-first craft — obsessive attention to gesture, scroll, haptic affordance on iOS
• Async communication — ship clear Loom walkthroughs, annotated Figma files

Perks

• Opportunity to build designs of breakthrough mental health products
• Start-up culture: remote team, freedom in schedule and decision making
• Team of professionals passionate about progressive mental health

Job Description

What You'll Do

• Define and own the overall data migration strategy and governance framework.
• Identify and manage migration scope (master data, open items, balances, transactional data).
• Lead data profiling, cleansing, and harmonization activities.
• Plan and execute migration cycles (mock loads, dress rehearsal, cutover).
• Coordinate extraction, transformation, loading, and reconciliation processes.
• Ensure alignment with functional, technical, and business teams.
• Track data quality KPIs and manage risks and escalations.
• Secure business validation and formal data sign-off before go-live.

Who You Are

• 7+ years of SAP data migration experience.
• Proven track record as Data Migration Lead in full-cycle SAP S/4HANA implementations.
• Strong understanding of SAP S/4HANA data structures and integration points.
• Strong knowledge of SAP Migration Cockpit and related tools.
• Experience with multi-entity rollouts, complex transformations, and tight timelines.
• Excellent stakeholder management, communication, and coordination skills.
• Strong analytical and data quality management skills.
• Experience working in large-scale transformation programs.
• English B2+ proficiency.

Benefits and Perks

• 89% of projects use the newest SAP technologies and frameworks.
• Expert communities and internal courses.
• Valuable perks to support your growth and well-being.
• Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one.
• Healthy work atmosphere: On average, our employees stay in the company for 4+ years.

Tech Stack

SAP

Team Description

Consulting team working on various SAP projects globally.

About the role

This role will be operating at the intersection of applied research and engineering, building crucial AI capabilities, and owning their robust implementation. You will have direct impact on shaping the models served in our products, and the user experience as well as business value that is driven by them.

What you'll do

• Post-training, distillation and reinforcement learning
  • Create training environments that elevate the quality ceiling of synthetic data, and provide high-quality reward signals for both off- and on-policy learning.
  • Design model behaviors that optimize for interpretability and an outstanding user experience.
  • Train agentic models that autonomously interact with complex structured and unstructured environments, write and prototype code, and navigate multimodal inputs.
  • Utilize the best tool for the job – SFT over synthetic data, on-policy distillation, RL or any combination of these to drive down the cost of specialized intelligence.
  • Own benchmarking pipelines – assemble high-quality datasets and measure impact of different training parameters or methodologies.
• Engineering Principles
  • AI engineers are engineers – build production-ready code and own the end-to-end process of data, training, benchmarking and implementation.
  • Architect scalable inference strategies that maximize compute efficiency.
  • Maintain solutions to ensure stable, reliable execution for customers.
  • Closely collaborate with engineering team to design important intersections of AI and product services such as interfaces, inference tracking, checkpointing, data persistence and caching.
  • Contribute to engineering culture; mentor peers, evolve patterns, raise the bar on code quality, testing strategy, and documentation.
• Tooling & Resources
  • Work with bleeding-edge open-weights models and internal training frameworks.
  • Stay at the forefront of open research and tooling– rapidly prototype and validate novel approaches.
  • Contribute to internal tooling for inference, training, orchestration, and data generation.
• Soft Skills & Mindset
  • Communicate ideas and explain solutions – even to a non-technical audience.
  • Autonomously build demonstrations and showcase work to the wider company.
  • Break down ambiguous problems into a clear technical scope – think beyond immediate business needs and incorporate future scalability into each design.
  • Proactively collaborate with team members and seek out all resources relevant to the task at hand.

Qualifications

Our ideal candidate has all of the following:

• Strong background in both ML and engineering
• Great communication skills and rapid understanding of problem descriptions
• High agency; willing to propose, prototype and own solutions
• Experience in post-training large models (SFT, distillation, RL)
• Experience deploying models at production scale
• Previous work with dockerized systems (Docker, Kubernetes, etc.)
• Previous contributions to open research or AI infrastructure
• Strong familiarity with latest AI research and open-source tooling
• Experience shipping complex software and owning production-code

Nice to Have

• Experience performance-engineering inference architecture for maximum throughput (vLLM, SGlang, llama.cpp)
• Detailed knowledge of RL frameworks (verifiers, ART, prime-rl, trl)
• Published models or blog posts/publications

Success Indicators

• Benchmarks and user metrics: Model quality does not just exist in a lab – both benchmarks and real user metrics are critical to evaluate model quality.
• Reliability: Minimizing hallucinations, maximizing inference uptime and consistency, ensuring high accuracy in expected model outputs.
• Interpretability: We do not build black-box AI – all models must be able to communicate reasoning processes, break down code execution, reference sources and achieve consensus decisions.
• Impact: Improving internal frameworks and tooling, elevating technical culture, educating teams and sharing learnings.
• Collaboration: Ownership of projects without micro-management, agency in seeking out and offering help wherever possible.

Your mission

As our Analytics Engineer, you’ll help define how we measure the business.

You’ll work closely with product, monetisation, UA, and finance leads to turn ambiguous questions into clear models and reliable metrics. Your job is to make sure our mobile KPIs are accurate, explainable, and most importantly trusted.

When leadership asks:

• Why did Week-2 retention drop?
• Is this cohort actually profitable?
• Can we safely scale this campaign?
• Did the pricing experiment improve LTV?

You make sure the answer comes from clean modeling, not "gut feel." This role is a 50/50 split between building elite data infrastructure (dbt + BigQuery) and digging into the numbers yourself when something looks "interesting."

What you'll own

• Stakeholder partnership: Sit with product, finance, UA, and monetisation leads to translate fuzzy business questions into precise analytical requirements.
• Data modelling: Design and maintain the dbt project on BigQuery - dimensional models (fact/dim), incremental loads, reusable macros, thorough tests, and documentation that actually gets read.
• Dashboards & self-serve: Build and iterate on Metabase dashboards that give non-technical teams the confidence to make decisions without pinging you for every question.
• Data analysis & deep dives: Go beyond building pipelines - dig into the data, investigate anomalies, run ad-hoc analyses, and surface insights that stakeholders didn't know to ask for.
• Data quality & reliability: Monitor production dbt runs, triage failures, trace issues from the dashboard layer all the way back to raw sources, and communicate impact and resolution to stakeholders.
• Mobile metrics expertise: Be the team's go-to on core mobile KPIs - DAU/MAU, LTV, retention cohorts, ARPU, ROAS - and ensure the models behind them are accurate and trustworthy.
• Process improvement: Identify gaps in our data stack or workflows and propose practical solutions.

What we're looking for

Must-haves

• 5+ years of hands-on analytics engineering or a senior analyst role with heavy SQL and modelling work.
• Strong SQL fluency and real experience with a cloud data warehouse (BigQuery preferred; Snowflake or Redshift also fine).
• 2+ years of production dbt experience: you've built and maintained dimensional models, written incremental models, authored macros, and set up tests that catch real problems.
• Track record of building dashboards for non-technical stakeholders.
• Genuine curiosity about the data you work with.
• Ability to ramp up fast on unfamiliar business domains.
• Clear, concise communicator.

Nice-to-haves

• Experience in gaming, mobile apps, or any high-volume event-driven data environment.
• Familiarity with Metabase.
• Experience with event tracking design.
• Familiarity with mobile attribution platforms (Adjust, AppsFlyer, or similar).
• Willingness to experiment with LLM for data work automation.

You’ll love it here if:

• You like small teams, big ownership, and zero bureaucracy.
• You get "itchy" when a number doesn't make sense.
• You prefer clear thinking and quick decisions over endless meetings.
• You’re comfortable wearing multiple hats when the situation calls for it.
• You like working with senior people who care about results, not titles.
• You believe analytics should change decisions - not just produce charts.

Who we need

The Parsers team is responsible for the full data processing cycle for competitor pricing information — from parsing tasks to final Kafka topics with correct and complete data schemas. We maintain the technical quality of the pipeline and help the Price Analytics team efficiently use this data for price management, compliance with partner policies, and finding new solutions to expand the product.

Job responsibilities

• Design and maintain scalable internal data collection pipelines capable of handling hundreds of thousands of requests daily;
• Support and optimize core architecture based on Go (Golang), Kafka, and PostgreSQL;
• Uphold high code quality standards through code reviews and RFC processes, ensuring system stability and fault tolerance;
• Collaborate with the product team to translate data requirements into technical specifications for the scraping infrastructure.

Key qualifications

• 5+ years of backend development experience focused on high-load distributed systems;
• Proven experience in industrial development of microservices or data processing pipelines using Go (Golang) and Apache Kafka;
• Extensive experience in designing and optimizing relational databases (PostgreSQL);
• Expert-level command of Go (Golang), including concurrent programming (goroutines, channels) and memory management;
• Advanced knowledge of Apache Kafka (partitioning strategies, consumer groups, offset management);
• Excellent skills in SQL and PostgreSQL (indexing, query optimization, transactions);
• Solid experience with Docker, Git, and CI/CD processes;
• Deep understanding of distributed systems design patterns and data consistency.

Would be a strong plus:

• Understanding of L3/L7 networking protocols and experience working with proxy servers;
• Deep knowledge of the differences between HTTP/1.1 and HTTP/2, principles of TLS operation, and HTTP header management;
• Experience with monitoring tools such as Prometheus and Grafana;
• Experience in parsing/scraping is a plus, but not required if you have strong expertise in distributed systems.

We offer you

• Flexible schedules and opportunity to work remotely.
• Ambitious and supportive team who love what they do, appreciate each other, and grow together.
• Internal programs for adaptation and training, development of soft skills, and leadership abilities.
• Partial compensation for participating in external training and conferences.
• Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
• Corporate prices on hotels and travel services.
• MyTime Day Off - an extra non-working day once per quarter without loss of compensation.

Job Responsibilities

• Deliver exceptional customer experiences through high-quality workmanship.
• Demonstrate technical skills in HVAC service and repair.
• Work as part of a dynamic and passionate team.

Requirements

• Experience in commercial HVAC service.
• Strong technical skills and problem-solving abilities.
• Ability to work effectively in a team environment.

Qualifications

• Relevant HVAC certifications and licenses.
• Proven track record in delivering high-quality service.

Benefits

• Industry-leading compensation with potential earnings of $85k–$200k.
• Paid time off starting from day one.
• Sign-on bonus up to $5,000.
• Relocation assistance up to $5,000.
• Comprehensive health benefits including dental and vision insurance.
• 401(k) plan with company match.
• Paid parental leave.
• Annual tool and boot allowance.
• Training and development opportunities through Sila University.
• Yearly performance reviews for career development.

Perks

• Fully stocked warehouse and parts runners for support.
• Clean, fully stocked company vehicle.

What You'll Do

As a Commercial HVAC Service Technician, you will be responsible for providing high-quality HVAC service and repair, ensuring customer satisfaction, and contributing to a positive team environment.

Who You Are

You are a motivated and skilled HVAC technician who values quality workmanship and customer service. You thrive in a team setting and are eager to advance your skills and career.

Tech Stack

Experience with various HVAC systems and technologies is required, along with familiarity with customer service protocols and technical training programs.

Team Description

You will be joining a dynamic and passionate team dedicated to delivering comfort, reliability, and peace of mind to our customers in Westchester and Fairfield counties.

THE ROLE & THE TEAM

Search is at the core of Zalando’s experience and fashion discoverability. The Search team’s goal is to build intelligent, scalable, and personalized search experiences that connect customers with the most relevant fashion items. We aim to make every search faster, smarter, and more inspiring—turning intent into discovery. As part of the larger Search and Discovery department, you will work with colleagues in Ranking and Recommendations to optimize the customer journey to drive next level commercial impact.

For that, we are evolving our search systems utilizing state-of-the-art natural language processing (NLP) and/or information retrieval (IR) methods, particularly transformer-based deep neural networks and large language models (LLMs).

As a Senior or Principal Applied Scientist, you will address challenging Search-related problems using cutting-edge approaches. You will contribute to the execution of our scientific roadmap, applying your scientific capabilities and in collaboration with a team of exceptional scientists and engineers developing models and cutting-edge machine learning products that enhance the experience of over 51 million customers.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions in NLP and IR to enhance our search systems for millions of our customers in large scale projects.
• Transform Zalando search into a fully intent-driven, LLM-augmented experience — spanning query understanding, semantic retrieval and personalized result page composition, including dynamic UX elements such as conversational query refinement, at the scale of millions of queries per day.
• Develop long term roadmaps for research topics that span multiple product areas and address concrete business goals.
• Contribute hands-on to delivering the roadmap in partnership with other scientists, engineers, and product.
• Raise the department’s and Zalando’s best practice in methods, algorithms and technology, including architecture, design patterns, and research roadmaps.
• Act as a mentor and guide to more junior scientists, and actively share knowledge and expertise within Zalando’s science community.

WE’D LOVE TO MEET YOU IF

• PhD in NLP, IR, machine learning, or related fields (or equivalent experience), accompanied by 4+ years of industry experience, especially deep learning based NLP and/or IR methods.
• Experience leading and shaping the scientific roadmap of the teams in products that span across multiple areas and working with senior science, engineering, and product leaders.
• Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle.
• Authority on deep learning and track record of leveraging research to advance the state of the art, including publication records at top-tier venues.
• Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Expertise with LLMs and their applications in IR. Proficiency in cloud computing platforms such as AWS is also required.

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

Key Responsibilities

• Develop and maintain the VictoriaMetrics + Grafana + Alertmanager stack;
• Configure metrics, dashboards, and alerts for microservices and databases;
• Maintain centralized logging (Fluent Bit, Fluentd, Elasticsearch, Kibana);
• Define SLI/SLOs and participate in incident analysis (postmortems);
• Help operate and support EKS clusters (dev/prod);
• Work with autoscaling (Karpenter or Cluster Autoscaler);
• Configure storage (EBS/EFS), load balancers, and network policies;
• Troubleshoot pod, node, and networking issues;
• Maintain Argo CD and Helm charts for services;
• Ensure correct deployments and environment health;
• Automate routine operations via GitLab CI/CD;
• Monitor PostgreSQL (CloudNativePG) and Redis;
• Set up DB monitoring and alerts (replication, lag, failovers);
• Participate in testing backup and restore procedures;
• Work with Vault (secrets, tokens, access management);
• Configure cert-manager and automated certificate renewals;
• Help set up OAuth2 Proxy / Zitadel for services;
• Maintain Terraform/OpenTofu modules for infrastructure (EKS, S3, IAM);
• Work with multi-environment configurations and remote state;
• Write and review simple infrastructure changes via Git.

Requirements

• Hands-on experience with Kubernetes and understanding of core objects (Pods, Deployments, Services, Ingress);
• Ability to read/write Helm values and work with Argo CD;
• Understanding of monitoring/metrics concepts (Prometheus/VictoriaMetrics, Grafana, Alertmanager);
• Ability to work with logs and perform incident root cause analysis.

Desirable

• Experience with PostgreSQL and Redis (backups, replication, monitoring);
• Knowledge of Terraform or OpenTofu;
• Experience with Kafka, ClickHouse, or Vault;
• Understanding of SLI/SLOs and SRE practices.

What We Offer

• High salary (plus performance bonuses and salary revision regularly);
• Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;
• 24 days holiday leave;
• Exciting work challenges that allow you to grow to your full potential;
• A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Who You Are

We are looking for a candidate who is passionate about site reliability engineering, has a strong technical background, and is eager to tackle complex challenges in a collaborative environment.

Tech Stack

• Kubernetes
• VictoriaMetrics
• Grafana
• Alertmanager
• Fluent Bit
• Fluentd
• Elasticsearch
• Kibana
• GitLab CI/CD
• PostgreSQL
• Redis
• Vault
• Terraform/OpenTofu

Team Description

You will be part of a strong team of like-minded professionals who are dedicated to achieving ambitious projects and fostering professional development.

The Role:

• Architect and integrate reliable monitoring and mixed-signal electronics, including the elicitation of requirements and the generation of new derived requirements to support system-level functionality and safety objectives.
• Collaborate with external suppliers on the detailed design and manufacturing of electronic hardware, ensuring appropriate component selection, generation of the required configuration-control documentation and traceability, and adherence to ZeroAvia design standards.
• Collaborate with Fuel Cell Systems, Mechanical, Software teams and other stakeholders to support the integration of HW electronic circuit card designs.

HW Development Assurance Activities:

• Own the design throughout the development cycle. Produce the required documentation for reviews, drive, address findings, and perform follow-up activities with internal and external stakeholders.
• Support compliance with DO-254 Plan objectives and activities for simple and complex electronic hardware, including documentation, traceability, verification, and validation processes.

Process Assurance:

• Produce and review design documentation to ensure traceability, compliance, and configuration control, in alignment with ZeroAvia's design processes and procedures.
• Maintain, review, and drive continuous improvement of ZeroAvia’s engineering and design standards to ensure alignment with evolving aerospace best practices.

Collaboration:

At ZeroAvia, we embrace the principle of "One Team, One Goal"—you will need strong communication skills and the ability to collaborate effectively across multidisciplinary design teams.

Technical Skills:

• Strong understanding of mixed signal circuit design and monitoring circuits.
• Strong understanding of Electrical safety (Creepage and clearance, insulation requirements, etc).
• Strong skills in designing and implementing data acquisition systems.
• Experience with modelling electronic circuits using SPICE-based simulation tools to assess and validate designs requirements.
• Proven experience in working and integrating Electronics Hardware with microcontrollers and digital signal processing.
• Strong understanding of qualification and environmental requirements (EMC testing, etc).

Experience Required:

• Minimum Bachelor’s degree in Electronics Engineering, Electrical Engineering, or an equivalent professional experience in hardware electronics design.
• 5+ Years Airborne Hardware Electronics Development Experience.

Desired:

• Master’s Degree in Electronics/Electrical Engineering.
• Experienced in Fuel Cell or Battery management systems.
• Knowledge of physical implementation RS485, Ethernet and CAN communication interfaces.
• Experience working in a Design Organisation Approval (DOA).
• Familiarity of certification processes for aerospace systems and equipment under CS-25/CS-23, DO-254, and AMC 20-152A.
• Experience with IEC 60664, DO-160 or MIL-STD-810.
• Experience in modelling electronics using LTSpice, and/or Simetrix.

Benefits and Perks:

• Private health and dental care – get access to services and support when you need them. Add your family members too.
• Mental health support – enjoy a culture where positive mental health is front of mind with our trained Mental Health First Aiders, Employee Assistance Programmes and wellbeing support.
• Free lunch and healthy snacks – keeping you fuelled up so you can help us deliver the technology of the future.
• Sports, games and culture clubs – connect and keep fit with other ZeroAvians by joining one of our subsidised clubs – such as, running, cycling, padel, trivia, theatre and gardening.
• Stock options – so you can share in our success.
• 25 days holiday, plus public holidays – to help you manage your work-life balance.
• Free EV Charging and membership in our EV Club.
• Salary Sacrifice Schemes for EV Club, Curry's Tech, Cycle to Work, and Ikea Furniture.
• Weekly Spot Bonuses to reward excellence.
• Income Protection and Legal Support for peace of mind.
• Relocation Support to make your move seamless.

Candidate's Responsibilities

• Ensure the security of company IT infrastructure, including networks, systems, and cloud environments
• Monitor and maintain security controls to prevent unauthorized access
• Manage vulnerability detection, risk assessment, and mitigation processes
• Oversee implementation of security policies and best practices
• Conduct regular security audits and infrastructure reviews
• Manage user access rights across internal systems and tools
• Implement and maintain role-based access control (RBAC) policies
• Monitor access provisioning and de-provisioning processes
• Ensure timely revocation of access for terminated employees
• Maintain access logs and perform periodic access reviews
• Monitor systems for suspicious activities and potential security threats
• Investigate unusual employee behavior related to system access
• Detect insider risks and potential policy violations
• Analyze security alerts and escalate incidents when necessary
• Coordinate incident response and post-incident analysis
• Develop and enforce internal security policies and procedures
• Ensure compliance with security standards and regulatory requirements
• Support internal and external security audits
• Maintain security documentation and reporting
• Promote security awareness within the organization
• Work closely with IT, HR, Legal, and Compliance teams
• Support HR in access control during employee lifecycle events
• Assist Risk and Fraud teams with internal investigations
• Coordinate with external vendors and security providers

Candidate Requirements

• 3+ years of experience in IT Security / Information Security
• Strong understanding of infrastructure security principles
• Experience with access management and identity control systems
• Knowledge of network security, endpoint protection, and monitoring tools
• Experience investigating security incidents and suspicious activity
• Understanding of insider threat detection practices
• Familiarity with cloud security environments (AWS, GCP, Azure — a plus)
• Strong analytical and problem-solving skills
• High level of integrity and confidentiality
• Good English (written and spoken)

Working Conditions

• Remote work format
• Competitive compensation package
• Opportunity to build and improve security processes
• Professional and supportive team environment
• 21 working days of paid vacation
• Career growth opportunities in a fast-growing international company

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

Requirements:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

Responsibilities

• Develop and maintain backend services for a web application
• Build integrations with external data sources/destinations (HTTP APIs)
• Fix bugs, handle incidents, and work with technical debt
• Optimize database queries and overall performance (identify and remove bottlenecks)
• Participate in designing mid-sized features and collaborate with QA/Analysts
• Perform code reviews and support junior developers
• Move toward AI-assisted development (vibe coding): generate/refactor code, write tests and documentation with AI tools, with mandatory validation (testing, review, architectural consistency)

Requirements

• 2–3 years of commercial software development experience
• Strong Python or JavaScript skills (backend)
• Hands-on experience using AI tools for coding and understanding how to validate and safely ship AI-generated output
• Database experience: SQL, PostgreSQL (ClickHouse is a plus)
• Solid understanding of HTTP and integration patterns
• SQL query optimization skills
• Ability to work independently in situations with some uncertainty
• Location: outside of Russia

Nice to Have

• Experience with profiling and performance tuning
• Production experience with data pipelines/integrations
• Familiarity with reliability practices: logging, monitoring, alerting

What We Offer

• Remote-first environment
• Strong product/market fit: marketing data product for US-based enterprises
• 20 working days of PTO per year
• US holidays and additional days off
• Extremely fun & open startup environment
• Professional development reimbursement
• Clear growth path toward team leadership

Who You Are

You are a Developer with 2–3 years of experience who is ready to work in an AI-assisted format: using AI tools to speed up development while maintaining quality through architecture, tests, code reviews, and proper validation. You are eager to learn, experiment, and help shape how we work—while staying grounded in quality, reliability, and maintainability.

Tech Stack

Python, JavaScript, SQL, PostgreSQL, ClickHouse (plus), HTTP APIs

Team Description

You will be part of a fast-growing Series A startup that is in the middle of an engineering transformation—adopting modern practices, improving our delivery process, and scaling AI-assisted development in a responsible way.

Job Description

Responsibilities

• Design, develop, and optimize business systems related to Oracle, supporting high-concurrency data processing scenarios.
• Participate in microservices architecture development, building distributed systems based on Spring Cloud, Dubbo, and related technologies.
• Collaborate with the database team on database schema design, SQL optimization, and stored procedure development.
• Write technical documentation, ensure code quality, and assist in system deployment and operations.

Qualifications

• Bachelor's degree or above, with 3+ years of Java development experience.
• Proficient in JVM, multi-threading, and network programming.
• Strong expertise in Spring Boot, MyBatis, and other frameworks.
• Familiar with database development and SQL tuning.
• Experience with distributed systems and message queues (Kafka/RocketMQ) is a plus.
• Responsible, with excellent teamwork and problem-solving skills.

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

About the Role

The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.

Responsibilities

• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
• Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
• Design and maintain data models that consolidate data from multiple marketing platforms and sources.
• Map and document data flows across complex, multi-source schemas.
• Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
• Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
• Manage and enhance data transformations with dbt.
• Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
• Use Git for version control and collaboration.

Must Have Qualifications

• Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
• 3+ years of SQL experience.
• Proficiency with AI tools and ability to integrate them into daily workflows.
• Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
• Understanding of data modeling principles (star schema, dimensional modeling).
• Understanding of ELT/ETL concepts and debugging data transformation logic.
• English C1 level with excellent written and verbal communication.
• Ability to communicate directly with clients and stakeholders.
• Takes ownership and responsibility for their work and results.
• Can present their work and insights confidently to clients.
• Consistently checks their own work for quality, accuracy, and completeness before delivery.
• Strong analytical skills, proactive problem-solving, and close attention to detail.
• Comfortable with ambiguity and able to drive clarity with clients and internal teams.
• Hands-on experience with QA/UAT processes.

Nice to Have

• Knowledge of Google Analytics (for business understanding).
• Knowledge of Google Analytics Data Streams.
• Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
• Understanding of Marketing Mix Modeling (MMM) concepts.
• dbt experience in analytics workflows.
• Python or other scripting language for data analysis and automation.
• Experience with data quality frameworks or data observability tools.
• Familiarity with marketing attribution models.

What We Offer

• Remote-first environment
• Strong product/market fit: marketing data product for US-based enterprises
• 20 working days of PTO per year
• US holidays and additional days off
• Professional development reimbursement

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

О вакансии

Мы ищем backend-разработчика в команду Core Team. Команда занимается внутренними сервисами, общими для всех продуктов Kolesa Group: авторизация, платежи, хранение и раздача файлов, обработка фотографий, инфраструктурные утилиты и многое другое.

Стек технологий

• Golang
• Kubernetes
• MongoDB
• Git
• Go
• PHP
• Clickhouse
• Asterisk
• Docker
• Linux
• Elasticsearch
• Redis
• MySQL
• Nginx

Тебе предстоит

• Разрабатывать и развивать ключевые межпродуктовые сервисы Kolesa Group: сервис единой авторизации, платежный шлюз, объектное хранилище, фотостек (resizer, preresizer, CDN), системы внутренней телефонии, интеграция с внешними сервисами (SMS, email, push-уведомления и т.д.), интеграция с государственными сервисами (smartbridge).
• Повышать надёжность, производительность и масштабируемость систем — от проектирования архитектуры до сопровождения в продакшене;
• Работать в тесной связке с другими командами: продуктовые команды, ML-инженеры, системные администраторы, hr, бухгалтера;
• Участвовать в техническом дизайне, планировании задач, ревью кода и CI/CD процессах;
• Поддерживать devops-культуру: автоматизация, мониторинг, логирование, алерты — это всё про нас;
• Писать качественный, протестированный код и не бояться отвечать за него на проде.

Мы ждем от тебя

• Знакомство с базами данных, понимание принципов их работы. Мы используем Mysql, Mongodb, Redis, Elasticsearch, Clickhouse, Scylladb (cassandra)
• Понимание инфраструктуры и окружения, в котором выполняется код: Linux, Docker, Nginx, Kubernetes, Аnsible, Opensips, Аsterisk;
• Владение инструментами мониторинга для поиска, решения и предотвращения проблем;
• Умение и желание писать тесты на свой код;
• Владение git, понимание процессов сборки и деплоя. Мы используем Github Enterprise;
• Умение давать оценку сроков выполнения задач и соблюдать их, вовремя сигнализировать о проблемах;
• Бескомпромиссный подход к решению проблем и устранению их причин;

Будет преимуществом

• Опыт работы с Kubernetes, Asterisk, PHP;
• Понимание микросервисной архитектуры, подходов к межсервисному взаимодействию;
• Опыт проектирования и реализации высоконагруженных сервисов.

Что мы предлагаем

• Соцпакет на выбор: здоровье, образование, билеты и т.д.
• Рост all inclusive: грейды, индивидуальные планы развития, менторство
• Программа релокации: помогаем иногородним сотрудникам в переезде
• Обучение: участие в митапах, конференциях и тренингах
• Корпоративная культура и тематические мероприятия
• Онлайн-библиотека: доступ к огромной tech-библиотеке
• Языковые курсы: курсы от компании-партнёра
• Пополнение личного кабинета на сайтах Kolesa.kz и Krisha.kz
• Скидки на фитнес, lamoda, skillbox, skyeng, geekbrains и т.д.

Job Responsibilities

• Advanced post-training of large language models (e.g. SFT, RLHF/RLAIF, continual pretraining).
• Aligning models for reliable JSON-schema function calls and external tool usage.
• Design, deploy, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context windows, and enforce safety gates.
• Experience in distributed training and inference with DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters.
• Build offline and live eval pipelines for alignment, factuality, grounding, and hallucinations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in developing and optimizing large language models.
• Proven track record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining).
• Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (LoRA, QLoRA, mixed precision).
• Familiarity with model alignment, JSON-schema function calls, and external tool integration.
• Experience in building and maintaining evaluation pipelines for model performance assessment.
• Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of distributed systems and high-performance computing.
• Experience with model deployment and inference optimization on vLLM or Triton clusters.
• Knowledge of JSON-schema and API development.

SpeakUp is an AI-powered matching app that connects event organizers, media teams, journalists, and podcasters with verified speakers and experts – instantly and commission-free.

Built for the global speaking and media industry, SpeakUp replaces fragmented workflows with a single, intelligent platform where opportunities and talent meet transparently.

Role Description

This is a remote contract role for a Backend Developer specializing in Python, FastAPI, and PostgreSQL. We are looking for a Backend Developer to help scale our backend services and APIs. You will work on integrating AI-powered features, improving performance, and building scalable backend services for a growing global platform.

This role is ideal for someone who enjoys working with modern Python backend stacks, APIs, and distributed systems.

Qualifications

• 3+ years of backend development with Python
• Tech Stack: Python, FastAPI, PostgreSQL, Redis, Docker, AWS (SES, S3), WebSockets, GitHub
• Experience with API design and microservices architecture is highly advantageous
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience

Nice to Have

• AWS experience
• Integrating machine learning or AI services
• OAuth integrations (LinkedIn, Google)

Responsibilities

• Develop and maintain backend services using Python and FastAPI
• Design and improve REST APIs and WebSocket services
• Integrate external services (AI models, payments, notifications)
• Optimize backend performance and database queries
• Work with PostgreSQL and Redis for data storage and caching
• Contribute to scalable backend architecture and microservices
• Collaborate with the product and frontend teams

What We Offer

• Work on a global AI startup product
• Location: Remote
• Contract-based collaboration ~20 hours/week for 2–3 months
• Competitive hourly rate depending on experience