Junior ML Engineer

Mad Devs

Full-time

About the position

The position involves developing and implementing machine learning algorithms for a B2B project with a broad user base. The role requires collaboration with a skilled team to solve complex business problems using machine learning tools, particularly in the context of natural language processing (NLP) and large language models (LLMs).

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
• Keep models and instructions for language models up to date

Requirements

• 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, 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
• Ability to generate clear and achievable goals for machine learning tasks/projects
• Experience working with big data and systems to process it
• Ability to use data analysis to identify insights and patterns that can help solve business problems

Nice-to-haves

• 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

Benefits

• Remote-first culture
• Long-term projects
• Salary in dollars
• Professional communities
• Onsite business trips
• Paid conferences