Junior ML Engineer

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Vacancy: Junior+ ML Engineer, remote
Company: MAD DEVS
Salary: 1500$ gross

We are currently engaged in a B2B project in which we are actively developing a product with a broad user base. This project is headquartered in Washington, DC. 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

Contact us: Показать контакты