Jobs

We are looking for a Senior Frontend Engineer to join our client's engineering team in a long-term engagement. This is a fully remote, full-time role for someone who takes real ownership of frontend systems end-to-end, collaborates naturally with backend engineers, and cares deeply about code quality, architecture, and user experience.

You will not be expected to work deeply on backend implementation — but you should be comfortable reading it, understanding it, and integrating cleanly with it.

This role is ideal for someone who enjoys ownership, product thinking, and building scalable, maintainable frontend systems used in real production environments.

Key Responsibilities:

• Architect, develop, and maintain complex frontend applications using React and TypeScript
• Build scalable, reusable UI components and architecture within a monorepo setup

• Own frontend features end-to-end — from requirements and UI logic through to API

  integration and production readiness

• Integrate with NestJS-based APIs, ensuring clean and well-typed contracts
• Drive technical decisions around frontend architecture and long-term maintainability
• Ensure high performance, accessibility, and responsiveness across all applications
• Contribute to shared tooling, libraries, and frontend standards within the monorepo
• Collaborate closely with product managers, designers, and backend engineers
• Improve frontend reliability through testing, code reviews, and engineering best practices

Requirements:

• 7+ years of commercial engineering experience — senior-level candidates only
• Expert-level knowledge of React and TypeScript
• Strong grasp of modern frontend architecture, state management (including xState), and performance optimisation
• Experience in monorepo environments (Nx, Turborepo, or similar)
• Solid understanding of API integration patterns — REST and/or GraphQL — and data flows
• Ability to work independently and deliver consistently in a distributed, remote team
• Excellent English communication skills — written and verbal
• AI-native engineering mindset — you actively use LLMs and AI tooling as part of your everyday development workflow
• Proven track record of long-term, high-impact contributions in previous roles

Nice to Have:

• Experience building AI-powered frontend features — streaming responses, AI chat interfaces, real-time feedback UX, or LLM-integrated workflows
• Familiarity with NestJS or backend service architecture
• Experience in fintech, KYC/KYB, or regulated industry products
• Open-source contribution history

What We Offer:

• Fully remote, flexible work culture with long-term stability
• High-impact product work using modern, state-of-the-art technologies
• Strong engineering standards and real technical ownership — no micromanagement
• Transparent, supportive team culture
• Competitive monthly compensation aligned with experience and contribution

How to Apply:

Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry🍒).

We’re looking for an experienced Full-Stack Developer who would help us reach the next level! If you are optimistic about managing full-stack development of web applications and websites and desire to have the opportunity to participate in a variety of projects with various back-end and front-end stacks - this opportunity is exactly what you are looking for.

Responsibilities:

• Participate in the entire application lifecycle, focusing on coding and debugging;
• Write clean code to develop functional web applications;
• Troubleshoot and debug applications;
• Perform UI tests to optimize performance;
• Manage technologies to improve legacy applications;
• Collaborate with Front-end developers to integrate user-facing elements with server-side logic;
• Gather and address technical and design requirements;
• Provide support to internal teams;
• Build reusable code and libraries for future use;
• Liaise with developers, designers, and system administrators to identify new features.

Qualifications

• At least 7 years working as a Full Stack Developer with a primary focus on the Back-End;
• 2-3 years of experience in the digital advertising ecosystem and at least 1 year of experience in Ad-tech;
• Experience with Client-side frameworks, preferably ReactJS;
• Experience with Server-side development in PHP(Laravel)/Python;
• Experience with databases PostgreSQL/MySQL, Redis;
• Experience with Git source control;
• Experience with production deployments, DevOps, and CI/CD;
• Passion for code craftsmanship;
• Attention to detail, organization, and multitasking;
• Excellent analytical and time management skills;
• Teamwork skills with a problem-solving attitude;
• Good command of English language.

Why do we enjoy working here?

• A young and driven team of professionals who are willing to grow and bring value.
• People-centric culture.
• L&D - support your need to replenish your knowledge and acquire new skills to do your job better via paid Professional training & e-learning courses.
• Flexible working schedule. We don’t use any time-tracker. We opt for performance.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

We invite you, a highly motivated and results-oriented Senior/Lead Rust Engineer, to join our team full-time for ensuring solutions, as well as strengthening the product.
 

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success 

Responsibilities

• Design the full architecture of the core platform and its supporting systems
• Make key technical decisions on the technology stack, infrastructure, and overall system design with minimal oversight
• Build the initial production-ready implementation
• Establish engineering standards, development practices, and a high bar for code quality for team members
• Contribute to hiring efforts, including technical evaluations as the team expands
• Collaborate directly with the CEO and Head of Engineering

Requirements

• 3+ years of commercial Rust development experience
• 5+ years of prior C/C++ or systems development experience
• Experience with high-performance or financial systems (exchanges, brokers, trading platforms)
• Deep knowledge of async Rust: tokio/async-std, futures
• Strong systems programming background: memory management, concurrency, low-level optimization
• Solid understanding of network protocols: TCP/UDP, WebSocket, FIX
• Experience with PostgreSQL, Redis or equivalent data stores
• Familiarity with distributed systems design principles

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We invite you, a highly motivated and results-oriented Senior C++ Engineer, to join our team full-time and ensure the reliability and stability of the company’s infrastructure.
 

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success
 

Responsibilities

• Design the full architecture of the core platform and its supporting systems
• Make key technical decisions on C++ stack, infrastructure, and overall system design with minimal oversight
• Build the initial production-ready implementation
• Establish engineering standards, development practices, and a high bar for code quality for team members
• Contribute to hiring efforts, including technical evaluations as the team expands
• Collaborate directly with the CEO and Head of Engineering
   

Requirements

• 5+ years of commercial C++ (C++17/20) development experience
• Experience with high-performance or financial systems (exchanges, brokers, trading platforms
• Deep knowledge of low-level optimization, memory management, concurrency, and lock-free structures
• Solid understanding of network protocols: TCP/UDP, WebSocket, FIX
• Experience with PostgreSQL, Redis, or similar data stores
• Basic understanding of distributed systems design
• Knowledge with Rust or other systems languages is a plus
   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS.

Core Responsibilities
 

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.
• Participate in architectural decisions and mentor other engineers.

Required Qualifications
 

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.
• Proven experience designing AWS-based data lake architectures: S3, EMR, Glue, Athena.
• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.
• Experience implementing lakehouse formats such as Delta Lake.
• Strong understanding of partitioning strategies and schema evolution.
• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).
• Proven track record of cost optimization in AWS environments.
• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code: Terraform, AWS CDK.
• Familiarity with monitoring and observability practices.
• Experience in the Financial domain.
• Experience running Spark workloads on Kubernetes.
• Experience implementing data quality frameworks or metadata/lineage systems.

The company shapes the future of autonomous AI agents for developers. Work with AI engineers to build tools that enhance coding workflows, automate tasks, and boost productivity.

Why join us?

Be a part of the next AI-powered development tools redefining software engineering. Collaborate with top-tier engineers and AI specialists. Solve complex challenges in a fast-paced, growing company. Enjoy a fun work environment and exciting opportunities as we rapidly expand. Gain exposure to cutting-edge tech while we expand weekly.

• Be a part of the next AI-powered development tools redefining software engineering.
• Collaborate with top-tier engineers and AI specialists.
• Solve complex challenges in a fast-paced, growing company.
• Enjoy a fun work environment and exciting opportunities as we rapidly expand.
• Gain exposure to cutting-edge tech while we expand weekly.

Responsibilities:

You’ll play a key role in designing and developing software, balancing backend and frontend development. Responsibilities include architecting scalable backend services, optimizing cloud-based solutions, and building interactive UI components and IDE plugins. Solve challenges like parsing large codebases, integrating AI assistants, and optimizing performance.

Requirements:

• 8+ years of full-stack engineering experience, with Strong backend and Strong frontend skills.
• Tech lead with at least 1 year of experience. 
• Experience with Redis and PostgreSQL
• Deep expertise in React, TypeScript, and modern Frontend and Backend architectures.
• Deep Experience with NodeJS
• Experience with AWS 
• Experience with AI-powered dev tools in day-to-day workflow.
• Experience working with CI/CD pipelines, automated testing, and modern development workflows.
• Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi.
• Experience  in building interactive UI components and IDE plugins
• B2+ English Level 

Project description

We invite a talented Senior DevOps Engineer to join an exciting fintech project. This is a SoftPOS solution that transforms standard mobile devices and tablets into high-performance payment terminals, enabling businesses to accept secure transactions anywhere without the need for additional hardware. 
If you can work under minimal supervision, you are reasonably proactive, have attention to detail, and share technical excellency values, we’ll be glad to consider you for this role. Also, you'll be a part of an international Senior level DevOps team. 

Required skills

— 5+ years of experience as a DevOps engineer on commercial projects;

— Fluent hands-on experience with Linux, Bash and Docker

— Experience setting up and maintaining CI/CD pipelines

— Experience with AWS ecosystem, including but not limited to EC2, ECS, EKS

— Experience with IaC approach

— Experience with instrumenting and monitoring production systems

— Upper-Intermediate English level or higher (both spoken and written)

As a plus

— Previous experience working in PCI-DSS environment

— Previous experience working in SOC2 environment

— Experience with one or more general-purpose scripting languages (e.g., Bash, Python, Perl)

— Experience with SQL or NoSQL databases
— Readiness to start cooperation asap 
 

We offer

— Paid 24 days of vacations and 20 sick leaves per year

— Paid participation in conferences and hackathons

— Corporate English classes

— Sport compensation

— Knowledge-sharing activities like tech discussions and tech/ soft skills meetups

— Bright teambuildings and corporate events

Interested in the given role? Please, share your CV and contacts, we'll be glad to consider you. 

The role is on-site for our Warsaw office.

✅ Requirements:

🧠 Experience & Skills

✔️ 5 + years of solid background in UX/UI design and market research, ideally in the gambling industry (highly desirable);

✔️ Background working in product companies, with a deep understanding of product development cycles;

✔️ Advanced skills in Figma and design systems;

✔️ Strong information architecture, wireframing, and user research abilities;

✔️ Ability to interpret data and turn it into actionable design insights;

✔️ Experience designing for mobile apps and responsive web platforms.

🎯 Abilities & Mindset

✔️ Strong problem-solving skills to tackle complex design challenges;

✔️ Excellent communication and collaboration skills;

✔️ Creative mindset with an eye for innovation and detail;

✔️ Comfortable working in a fast-paced, dynamic environment;

✔️ Ability to prioritize tasks and manage multiple projects simultaneously.

🎓 Education

✔️ A degree in User Experience Design, Interaction Design, Human-Computer Interaction, or a related field is a plus

✅ Responsibilities:

✔️ Create intuitive, user- and business-centric designs that enhance the player experience and comply with regulatory standards;

✔️ Conduct competitor research and usability testing to inform and justify design decisions;

✔️ Build wireframes and prototypes in Figma to communicate design concepts clearly;

✔️ Collaborate on the UX of new features while considering legal and compliance requirements;

✔️ Design visually appealing interfaces following our design system;

✔️ Partner with cross-functional teams (Product, Dev, QA) to ensure the successful implementation of designs.

✅ We offer excellent benefits, including but not limited to:

🚀 Career growth opportunities in an international and dynamic environment;

📚 Opportunity to develop language skills with partial compensation for language courses;

🎁 Special gifts for birthdays, weddings, and newborns;

🏝️ 20 working days of paid annual vacation, plus paid sick leaves;

🍲 Office snacks and refreshments;

🏋️ Sports package to support a healthy lifestyle;

🩺 Comprehensive medical insurance for you and your partner;

📍 Comfortable office with great facilities in a prime location;

🎉 Exciting corporate events, team-building activities, and international company parties.

Join BrainRocket and rock with us! 🚀

🔍 We are looking for a Marketing Analyst who will drive data-informed decision-making across performance marketing and. You will work closely with Media Buying, Creative, Product, and Leadership teams to transform marketing and product data into actionable insights that support scalable growth.

💼 The company is building a cloud gaming platform that allows users to play video games via browser, TV, or mobile device without the need for a high-performance PC. The product targets global markets and is rapidly scaling.

📍 Warsaw, office | Full-time

📌 Responsibilities:

• Build, maintain, and optimize marketing dashboards in Looker Studio (mandatory)
• Integrate and analyze data from platforms such as Triple Whale, Mixpanel, Amplitude, and advertising channels
• Work with SQL-based data exports (with transition to a dynamic database in the future)
• Write and optimize SQL queries to extract, clean, and structure data
• Analyze marketing funnel performance (acquisition → activation → retention → revenue)
• Identify growth opportunities in performance marketing and CRO
• Support A/B testing analysis and evaluate experiment results
• Provide regular insights and reports to C-level and marketing leadership
• Ensure data accuracy, consistency, and transparency across teams

✅ Requirements:

• Strong understanding of performance marketing and CRO principles
• Proven experience working with Looker Studio (required)
• Experience with Triple Whale, Mixpanel, or Amplitude
• Solid knowledge of SQL (ability to work with raw SQL exports and write queries independently)
• Experience building marketing dashboards and performance reports
• Strong analytical thinking and ability to translate data into business recommendations
• Ability to work in a fast-paced, performance-driven environment

Nice to have:

• Experience in SaaS, gaming, or subscription-based products
• Experience working with attribution models and cohort analysis
• Familiarity with unit economics (LTV, CAC, ROAS, ROMI)

🚀 What the company offers:

• Work in a product company with ambitious scaling goals
• High level of autonomy and ownership
• Competitive compensation
• Official employment
• Professional growth alongside the company’s expansion
• A results-driven team with a strong performance culture
• Office in the center of Warsaw (relocation support provided if needed)

📩 If you are passionate about turning marketing data into strategic insights and want to work at the intersection of analytics, performance, and product growth - we would be happy to receive your CV.

We're hiring a DevOps Engineer who thinks in templates, not tickets. You'll design fully automated, repeatable infrastructure — from bare metal to production - using IaC, VM templating, and AI-assisted workflows. If you'd rather teach a machine to do the work than do it twice, this is your role.

Client requirements:

Overview

We are seeking a DevOps Engineer with strong platform engineering capabilities and a forward-looking approach to AI-driven development practices. The role focuses on delivering rapid, repeatable, and fully automated infrastructure and deployment environments.

AI is rapidly transforming DevOps. Candidates must be open to, and ideally experienced in, leveraging AI tools (e.g., Codex) to automate tasks such as security remediation, dependency management, and code generation. We are specifically looking for engineers who embrace AI-assisted workflows rather than relying solely on traditional manual scripting approaches.

Core Responsibilities

• Design and implement rapid, repeatable deployment environments
• Build and manage full lifecycle infrastructure automation, including provisioning, upgrading, testing, and teardown
• Enable deterministic, time-bound deployments through infrastructure abstraction
• Develop and maintain Infrastructure as Code (IaC) for scalable environments
• Support parallel environment provisioning for testing and delivery workflows
• Ensure secure handling of credentials and secrets across environments
• Contribute to platform engineering from bare infrastructure upwards, not limited to managed services

Deployment & Platform Approach

The role requires practical implementation of infrastructure abstraction to enable efficient deployment workflows.

Candidates should understand and implement approaches such as:

• Transitioning from manual workflows:
  • OS cleanup → configure → install → test → teardown → repeat
• To automated, template-driven workflows:
  • Template → clone VMs → bootstrap cluster → test → destroy

This approach enables:

• Provisioning in minutes rather than hours or days
• Deterministic builds using golden images
• Parallel environment execution
• Near-instant teardown
• Clean integration with Infrastructure as Code

A strong understanding of trade-offs between bare-metal and virtualised deployments is required, including performance, reproducibility, and lifecycle management considerations.

Required Technical Skills

Infrastructure & Virtualisation

• Hypervisor platforms: Proxmox, Nutanix AHV, VMware
• VM templating, cloning, and lifecycle automation
• Design of infrastructure abstraction layers for repeatable deployments

Infrastructure as Code & Automation

• Terraform or OpenTofu
• Cluster API (or equivalent) for full cluster lifecycle management
• Packer for image-based infrastructure

Configuration & Version Control

• Ansible for configuration management
• Git for version control and workflow management

Networking

• Infrastructure networking including:
  • VLANs
  • L2/L3 segmentation
  • DNS automation

Security & Secrets Management

• Vault (or equivalent)
• Secure credential and secret handling across environments

Systems Engineering

• Strong Linux systems engineering capability, including:
  • Drivers
  • cgroups
  • GPU passthrough
  • Performance tuning

AI & DevOps Capability

• Willingness and readiness to adopt AI-assisted DevOps practices
• Preferably hands-on experience using AI tools (e.g., Codex) for:
  • Automated code generation
  • Security issue remediation
  • Dependency management
• Open mindset toward evolving DevOps practices driven by AI innovation

Experience Requirements

• Experience building platforms from bare infrastructure upwards
• Proven ability to design and implement repeatable, automated deployment environments
• Strong understanding of real-world deployment constraints and optimisation strategies

Key Competencies

• Automation-first mindset
• Strong problem-solving and systems thinking
• Focus on reproducibility and reliability
• Ability to balance performance, scalability, and operational efficiency
• Adaptability to rapidly evolving tooling, particularly in AI-driven DevOps

ABOUT COMPANY

Fast-scaling DTC supplement brand focused on lymphatic drainage. We run a high-output creative team and ship winning ad concepts every week.

THE ROLE

You'll take creative briefs from our Creative Strategist and produce polished, performance-ready video ads — fast. You're expected to use AI tools as part of your workflow and deliver without hand-holding.

WHAT YOU'LL DO
— Receive briefs from the Creative Strategist and execute from start to finish

— Edit and produce 10–20 ad concepts per week

— Handle captions, b-roll, visual overlays, and all post-production

— Prepare every deliverable to IEDC structure (Intro, Engagement, Detail, CTA)

— Implement feedback quickly and stay on schedule

WHAT WE'RE LOOKING FOR

— Experience editing performance video ads for DTC or e-commerce brands

— Comfortable using AI tools to speed up your workflow

— Fast, clean output — quality without slow turnarounds

— Self-directed, reliable, and communicates clearly

COMPENSATION

Starting at $2,500/month for 10–20 concepts per week. As your quality and output improve, salary grows up to $5,000/month. Performance bonuses available on top of base.

This is a full-time role — no freelance or side engagements to start.

OUR VALUES

— Hungry — you want to grow

— Speed — we move fast

— Ownership — no chasing you down

— Results Over Activity — output matters, not effort

About the role:
In this role, you will:
● Own parts of our core backend infrastructure, which is a complex, real-time distributed system written in Python and Rust
● Own big initiatives end-to-end and deliver them with minimal guidance
● Troubleshoot highly complex production issues
● Constantly improve our development velocity while maintaining a very high reliability standard

Qualifications:
● BSc in Software Development or equivalent industry experience
● Previously a Staff or Principal Engineer at a startup company
● 10+ years of experience in Python development
● Strong Python Asyncio experience
● Strong software design skills
● Excellent communicator in writing and orally
● Significant experience with at least one strongly typed language (Rust, C++, Go,
Swift, Java, etc)
● Deep understanding of Networking Protocols, Operating Systems
● Deep knowledge of Python Profiling
● Experience in delivering and troubleshooting a production-grade cloud-based
distributed system
● Experience in building and troubleshooting a real-time low-level system (e.g.
kernel, drivers, RTOS)
● Kubernetes and Helm experience
● Experience with different observability stacks
● Strong LLM prompting skills, but also being able to work without them
● Experience with gRPC and its troubleshooting
● Being a contributor or maintainer of an open-source package
Bonus:

● An understanding of one of the following: WebRTC, STUN/TURN, SIP, RTP,
HLS, RTMP
● Having worked with Rust and PyO3
● Audio programming experience

Qualities We're Looking For
● Fast - you know you're a 10X engineer, not just yet another senior engineer
● Resilience – being able to balance planned work with real-time issues in a fast-
paced, high-pressure environment
● Strong communication skills – in both written and verbal communication, with
the ability to produce crisp and clear documentation
● Problem solver
● Extremely Strong ownership and independence
● Ability to translate incomplete requirements into an actual product
● Team player

Stage

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.