Machine Learning Engineer

About Bitmedia Labs

Bitmedia Labs - an international product IT company, has been in the industry since 2014, effectively functioning on a worldwide scale with a crew of 100+ ambitious and highly skilled professionals, creating successful projects in domains such as online advertising systems for the crypto space, blockchain games and NFT products.
We are seeking a self-motivated AI/ML Engineer to join our team. In this role, you will conduct R&D activities, develop concepts, engineer prompts, train models, and implement AI solutions. The ideal candidate is proactive, can work independently, and stays current with emerging AI technologies.

Responsibilities:

• Conduct R&D in the field of artificial intelligence and machine learning;


• Prepare and develop AI concepts and prototypes to solve business challenges;


• Design and engineer effective prompts for large language models;


• Train, fine-tune, and optimize machine learning models for specific use cases;


• Develop and implement RAG (Retrieval-Augmented Generation) solutions;


• Create and integrate AI-powered bots, virtual assistants, and chatbots;


• Work with various LLM APIs (OpenAI, Anthropic Claude, Google Gemini, LLaMA, etc.);


• Implement ML models for data analysis, NLP tasks, and content generation;


• Build data processing pipelines and workflows;


• Form and test hypotheses to improve product metrics and user engagement;


• Collaborate with product teams to implement AI features that solve real user problems.

Requirements:

• 2+ years of experience with Python programming;


• Experience working with LLM models and APIs (OpenAI, Claude, Gemini, LLaMA, etc.);


• Practical knowledge of AI libraries and frameworks (LangChain, Hugging Face, PyTorch, TensorFlow);


• Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.);


• Understanding of prompt engineering techniques and best practices;


• Basic experience with model fine-tuning and training pipelines;


• SQL skills and experience with databases.

Nice to Have

• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment;


• Knowledge of Docker and containerization for model deployment;


• Experience with MLOps practices and model monitoring;


• Understanding of embeddings and semantic search techniques;


• Experience with unstructured data processing (text, images, audio);


• Knowledge of data visualization tools and techniques;


• Experience implementing AI solutions in production environments.
  
  
  

We offer:

• Flexible work environment - you can work remotely anywhere or at our comfortable Hub in Kyiv;




• The 8-hours working day with a flexible schedule;




• Competitive salary based on your experience;




• Regular performance review and annual salary review;




• Paid sick leaves, vacation and holidays;




• Professional development tools (reimbursement of educational courses or workshops, conferences around the world);




• Ambitious team with a transparent communication and friendly atmosphere, no micromanagement;




• Apple equipment;




• Memorable gifts for holidays.