Junior+ ML Engineer

We are looking for a Junior+ Machine Learning Engineer to join our team and contribute to real-world ML projects. You will work on practical machine learning challenges, participate in model development and experimentation, and collaborate with experienced engineers to turn ideas into working solutions. What you will do: Develop and implement machine learning algorithms. Move machine learning models from development into real-world applications. Compare different approaches to solving complex business problems. Collaborate with customers to identify their challenges and explore how machine learning can address them. Develop algorithms for recommendation and ranking systems. Build intelligent assistants. Keep models and language model instructions up to date. Our expectations: 1.5+ years of relevant experience in startups or professional services firms. Familiarity with software development and delivery processes and an understanding of their key stages. Knowledge of machine learning model development and tuning for tasks such as classification, regression, and clustering. Experience integrating off-the-shelf machine learning solutions. Experience working with large datasets and data processing systems. Ability to use data analysis to identify patterns and insights that help solve business problems. A solid mathematical background and knowledge of core machine learning algorithms and evaluation metrics. Experience deploying machine learning models to production. Knowledge of natural language processing (NLP) and large language models (LLMs). Experience developing agentic systems, including multi-tool and multi-agent solutions. Strong customer communication and negotiation skills. Ability to identify customer needs, gather and analyze requirements, and translate business requirements into technical specifications. Ability to define clear and achievable goals for machine learning tasks and projects. Ability to conduct customer demos and explain technical concepts and results clearly. English at B2 level and fluent Russian. Tech stack: Python, SQL, PostgreSQL, Pandas, FastAPI, Flask, Django, Pydantic, SQLAlchemy, scikit-learn, PyTorch, Transformers, Git, Bitbucket, CI/CD, Docker, OpenAI API, LangChain, LangGraph, LangSmith, Airflow, and BigQuery.