Experience

· 10+ years of Software Development experience

· 5+ years of experience in the Data Science and Machine Learning techniques

· Proven track record of getting Client models into production

· Hands-on experience with writing Client models with Python.

· Prior experience in Client platforms and tools such as Dataiku, DataBricks, H2O, etc. would be a plus

Skill Sets:

· Ability to Collaborate across the business to understand IT and business constraints

· Ability to Translate complex machine learning problem statements into specific deliverables and requirements

· Ability to create data and Client pipelines for more efficient and repeatable data science projects using MLOps principles

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization

· Strong understanding of evaluation and monitoring metrics for machine learning projects

· Strong understanding of containerization using docker and Kubernetes to get the models into production and good Knowledge on Linux principles.

· Knowledge of distributed computing frameworks and cloud Client frameworks including AWS, Azure, and GCP.