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Senior ML Engineer

We are looking for a talented Senior Machine Learning Engineer to join our innovative team. If you're passionate about AI and want to make a real impact, this is the opportunity for you.

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
• Move machine learning models from development to real-world use
• Compare different approaches to solve complex business problems
• Interact with clients to identify their problems and how machine learning tools can solve them
• Develop algorithms for recommender and ranking systems

• 3+ years in startups or professional services firms
• Strong mathematical background
• Knowledge of ML algorithms and metrics
• Experience of putting ML models into production and evaluating their business impact
• Classification, regression, clustering and NLP skills
• Ability to conduct customer demos and translate business requirements into technical specifications
• Experience with big data and large language models
• Language Proficiency: English B2-C1, Russian B2

Desired Experience:

• Python, SQL, PostgreSQL, Spark (basic knowledge)
• Pandas, FastAPI, Sklearn, PyTorch, Transformers
• Git, Docker, OpenAI API
• Hyperparameter optimisation and production model monitoring
• Familiarity with Databricks and code reviews
• Pydantic, SQLAlchemy, DataBricks, Airflow, Microsoft Azure, Azure AutoML

• 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