Machine Learning Engineer

We are looking for a Middle AI/ML Engineer to develop computer vision and language-model capabilities for digital accessibility solutions. You will work on production-ready AI systems that help make websites and applications more usable for people of all abilities, combining classical computer vision, YOLO-based models, LLM integrations, embedding pipelines, vector search, and RAG APIs.
 

Required for this role

• 3+ years of experience in machine learning or AI engineering, with a focus on deploying models to production
• Strong knowledge of computer vision, including classical algorithms, object detection, and classification
• Hands-on experience with YOLO models for classification and object detection
• Proficiency in Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers
• Experience working with LLMs, API integrations, embedding pipelines, vector databases, and RAG
• Strong back-end engineering skills, including API design, cloud service integration, and infrastructure supporting ML workflows
• Experience building and maintaining scalable ML infrastructure and data pipelines using tools such as AWS Glue, Athena, Spark, or similar
• Strong understanding of the ML model lifecycle, including training, evaluation, deployment, monitoring, and continuous improvement
• Familiarity with HTML, CSS, and JavaScript, together with an interest in digital accessibility
• Strong communication skills and the ability to explain complex ML concepts to technical and non-technical audiences
   

Your responsibilities

• Develop and improve computer vision solutions using classical algorithms and YOLO-based classification and object detection models
• Fine-tune LLMs and build embedding pipelines for production use cases
• Implement and validate vector search using vector databases
• Develop RAG modules and APIs, and integrate AI capabilities with existing systems
• Process and collect data for AI systems, building and maintaining pipelines for developing and deploying algorithms at scale
• Research current approaches in AI/ML and apply relevant findings to digital accessibility challenges
• Design, evaluate, and iteratively improve algorithms using rigorous statistical and domain-relevant metrics
• Contribute to technical documentation, code reviews, team planning, demos, presentations, and cross-functional collaboration

What you get
Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities
   

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities
   

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops
   

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives