Junior ML Engineer, remote

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.

Mad Devs is a full-stack team specializing in developing and administering large-scale IT products across diverse industries. Many of our products operate in Europe, the USA, and countries across Southeast Asia. We are passionate about tackling complex challenges and delivering innovative solutions that make a meaningful impact globally.

• 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

• Familiar with technologies: Python, SQL, Pandas, Django, Pydantic, SQLAlchemy, Sklearn, PyTorch, Transformers, Git, BitBucket, CI / CD, Docker, OpenAI API, Airflow, BigQuery
• Experience with NLP, LLM
• 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
• B2 English level, fluent Russian

• Competitive Compensation: Dollar-based salary, ensuring your expertise is recognized.
• Full-time Employment: Officially recognized employment status with legal assistance for collaboration.
• Expert Development Team
• Engineering Leadership: Our leadership team has an engineering background and actively participates in technical meetings to discuss project challenges and technological innovations.