Python Developer (ML)

Responsibilities

• Writing services and APIs that allow access to the ML models;
• Reducing the run-time of processing millions of data points in multiple ML services;
• Integrating ML services with multiple parts of our product infrastructure that is being supported by multiple teams;
• Communicating with the tech leads of other departments to ensure the best alignment on the implementation and release;
• Implementing the resilience logic for the services (metrics, alerts, retries, fallbacks, throttling, health checks, auto-recovery);
• Supporting and improving internal tools for the engineers and data annotators;
• Creating a system design for the new services.
  
  

Requirements

• Experience as an ML Engineer for 3+ years;
• Strong proficiency in Python and knowledge of common ML libraries (PyTorch, transformers, pandas, polars, catboost, etc.);
• Experience with TensorRT;
• Experience in developing and maintaining APIs and microservices;
• Solid understanding of system design and architecture principles;
• Knowledge of containerization and orchestration (Docker, k8s).
  
  

Qualification That Can Be a Plus

• Experience with ML orchestration systems (Kubeflow, ClearML, BentoML, etc.);
• Experience with GPGPU (CUDA) or any other massive parallel programming;
• Experience with resilience engineering practices;
• Experience with Triton inference server.
  
  

Conditions

• A steep springboard for personal and professional growth;
• Developing your professional competencies through courses and/or conferences;
• Language courses, mindfulness webinars;
• Modern MacBook;
• The possibility of self-realization and the ability to influence technical decision-making;
• A large friendly community, international IT teams, corporate events, team building and hackathons.