ML Engineer (Senior)

5+ years building and deploying ML systems in production environments Expert-level Python and experience with PyTorch / TensorFlow Deep expertise in at least one domain: NLP, Computer Vision, Time-Series, or Reinforcement Learning Generative AI and LLM-related capabilities MLOps and infrastructure automation (e.g., CI/CD for ML, Docker, Kubernetes, Terraform, MLflow, Kubeflow) Strong engineering fundamentals: system design, scalability, testing, and monitoring Track record of translating ambiguous business problems into production ML solutions Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML) Champion for quality

Turn ambiguous client problems into shipping code. Drive projects from discovery to deployment Collaborate with client and internal project teams Design and write clean, scalable code Design, integrate, and productionize ML solutions Collaborate with domain experts Advocate for engineering best practices and positive dev culture