Senior Data Scientist / Machine Learning Engineer
Required skills
Proficiency in Python, Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn), Strong understanding of machine learning algorithms, processes, tools and platforms, Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow, Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work), Ability to work on distributed cloud platforms, Fluent English
Preferred skills
Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow, Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
Technologies
Python, Keras, TensorFlow, PyTorch, scikit-learn, Kubernetes, Kubeflow, MLFlow, distributed cloud platforms
Responsibilities
Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients, Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms, Establish efficient, automated processes for large-scale modeling, Become part of a highly skilled and geographically distributed team, Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process, Strong sense of ownership, urgency and drive
Seniority
Senior
Domain
Data & AI, Machine Learning, Cloud Computing, DevOps, Microservices Architecture, Data Engineering