Junior+ ML Engineer

We are currently engaged in a B2B project in which we are actively developing a product with a broad user base. We have the privilege of working closely with a team of highly skilled professionals, including designers, sales managers, and business analysts.

Required Skills:

• 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

Responsibilities:

• 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

It will be a plus:

• Experience in applying hyperparametric optimization techniques to improve model performance

• Ability to monitor models in production

• Experience in the full ML model delivery cycle: from data collection to delivery to production and continuing support; understanding of the technical background of deliveries