Junior+ ML Engineer

We are developing a large-scale B2B product with a global user base, collaborating with top professionals in design, analytics, and sales. Looking for an ML Engineer with 1+ year of experience in NLP/LLMs, Python, and production-ready ML solutions.

A full-stack team specializing in the development and administration of large IT products across various industries. Our project geography: Europe, USA, Southeast Asia.

• 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+ year of commercial experience with NLP and LLMs
• Familiar with technologies: Python, SQL, Pandas, Django, Pydantic, SQLAlchemy, Sklearn, PyTorch, Transformers, Git, BitBucket, CI / CD, Docker, OpenAI API, LangChain, LangGraph, LangSmith, Airflow, BigQuery
• Knowledge of basic machine learning algorithms and metrics
• Experience implementing machine learning models in a production environment
• Familiarity with software development and delivery processes. Understand the key steps involved
• Can generate clear and achievable goals for machine learning tasks/projects
• Experience working with big data and systems to process it
• Know how to use data analysis to identify insights and patterns that can help solve business problems
• Knowledge of basic machine learning algorithms and metrics
• Experience implementing machine learning models in a production environment
• Experience developing agent systems based on popular frameworks
• B2 English level, fluent Russian

• Trust-based environment: no screen tracking or monitoring — only results and workload in Jira.
• Flexible schedule: 160 hours per month, with freedom to set your own hours and take breaks when needed.
• Time off: 10 paid days off per year plus official holidays (Dec 31–Jan 2).
• Vacation: 28 calendar days annually after six months of work.
• Growth & development: support for professional and career growth through internal communities.