ML Engineer for the development and implementation of machine learning and LLM models in a large distribution company. Full cycle from data analysis to production.
Tasks:
- Performing the role of a data analyst for the development and advancement of machine learning (ML) and large language models (LLM) applied to solve the company's business problems: forecasting, process optimization, recommendations, AI solutions.
- Full cycle of ML model development: from problem definition to production and maintenance.
- Analysis and processing of large volumes of data using statistical methods and machine learning algorithms.
- Conducting experiments with models, evaluating their quality, validation.
- Development of services around models (API, microservices).
- Support for regular and ad-hoc model runs.
- Participation in the development of the company's ML and AI initiatives.
- Preparation of analytical reports, presentation of results to the business.
Requirements:
- At least 2 years of experience as a Data Science / ML analyst, full model production cycle is important.
- Proficient in Python, SQL (complex queries, big data).
- Experience in developing API services (FastAPI), as well as containerizing solutions using Docker and Docker Compose.
- Proficiency in classical ML methods: Scikit-learn, XGBoost, LightGBM, CatBoost.
- Experience applying Deep learning and LLM: PyTorch, TensorFlow, Keras.
- Ability to translate results into business solutions and present them.
Conditions:
- Work in a stylish office, where you can also enjoy the aesthetics of modern art.
- Work schedule: 5/2, hybrid format (Moscow, Minskaya St., 2Zh).
- Attractive income level.
- Health care: a comprehensive voluntary medical insurance program with a wide selection of clinics, dentistry, hospitalization, overseas travel insurance, and the option to get discounts on medical insurance for relatives.
- Training on internal programs in the corporate university from the first days of work.
- Opportunity to study on external courses and systematically develop your competencies for further career growth within the company.
- Development of expertise in products (wine, spirits, accessories) for newcomers and professionals through regular tastings, courses from our experts and brand ambassadors.
- Discounts on company products, mobile communication compensation, corporate privilege programs (discounts on fitness clubs, restaurants, etc.).
- Supplementation up to full salary during vacations.
- Gifts for employees and their children for New Year, birthday gifts.
- Group fitness classes in the office (yoga, Pilates, Qigong, functional training), and we also have corporate football, volleyball, and badminton teams.
- Gamification is successfully implemented, where each employee can earn points for engagement in learning and spend them in the gift shop.
Skills:
- Python
- SQL
- FastAPI
- Docker
- Docker Compose
- Scikit-learn
- XGBoost
- LightGBM
- CatBoost
- PyTorch
- TensorFlow
- Keras
