Junior+ ML Engineer

• Develop and implement machine learning algorithms
• Transfer machine learning models from development to real-world application
• Compare different approaches to solve complex business problems
• Collaborate with customers to identify their problems and opportunities for solving them\ using machine learning tools
• Develop algorithms for recommendation and ranking systems
• Develop intelligent assistants
• Keep models and instructions for language models up to date

• Minimum 1,5+ year in startups or professional services firms
• Familiarity with software development and delivery processes. Understand the key steps involved
• Customer negotiation skills to actively participate in identifying their needs and objectives
• Ability to gather and analyze requirements and translate business requirements into technical specifications
• Can generate clear and achievable goals for machine learning tasks/projects
• Can conduct regular demos for customers and explain technical aspects and achievements in an accessible manner
• Knowledge and experience in developing and tuning machine learning models for various tasks such as classification, regression, clustering, etc. Integration of off-the-shelf solutions
• Experience working with big data and systems to process it

• Knowledge of basic machine learning algorithms and metrics
• Experience implementing machine learning models in a production environment
• Experience working towards natural language processing (NLP)
• Experience with large language models (LLM)
• Experience developing agent systems based on popular frameworks (LangChain, LangGraph). Experience implementing multi-tool and multi-agent systems.
• B2 English level, fluent Russian
• Tech stack: Python, SQL, PostgreSQL, Pandas, FastAPI/Flask/Django, Pydantic, SQLAlchemy, Sklearn, PyTorch, Transformers, Git, BitBucket, CI / CD, conflict resolution, Docker, OpenAI API, LangChain, LangGraph, LangSmith, Airflow, BigQuery
• Time zone GMT+1 to GMT+11

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