Senior Engineer, AI & ML (multiple positions)

Overview In this role you will provide reliable and scalable machine-learning capabilities across the organization. You will partner with Data Scientists to design and produce models and ensure their operation through testing and monitoring of applications and front-end experiences. You will translate ML models into mission-critical capabilities that enhance customer experience. You will explore opportunities to shape products, tools, and technologies to improve business performance. Responsibilities Design and develop distributed ML models with Data Scientists End-to-end design, development, and monitoring of scalable services for product support Convert ML models into production-ready capabilities affecting customer experience Research opportunities to shape products, tools, and technologies to improve business performance Key requirements Master’s degree or Bachelor’s degree with 5 years of experience in relevant fields Experience with distributed architectures (microservices or Kubernetes)Proficiency in Python and OO languages (C# or Java)Experience with cloud platforms (Microsoft Azure or equivalent) and Dev Ops practices Experience with ML lifecycle tools (MLFlow, Azure ML, Sage Maker) and ML libraries (Tensor Flow, Scikit, PyTorch)Python programming Distributed architectures (microservices, Kubernetes)Microsoft Azure or equivalent cloud technologies Dev Ops practices, CI/CD pipelines Object-oriented programming (C# or Java)Machine-learning and AIaaS