Job Location: Kolkata
• As a Senior ML Engineer, you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions
• Operationalize and monitor machine learning models using high end tools and technologies.
• Design & implementation of DevOps principles in Machine Learning
• Data Science quality assurance and testing
• Model Governance and Monitoring
• Execute best practices in version control and continuous integration / delivery
• Collaborate with data scientists, engineers and other key stakeholders
• Work well in a fast-paced cross-functional environment
Skills/Requirements:
• Minimum 6+ years of experience in AI/ML
• Experience in implementing machine learning life cycle on AWS (Using Sage Maker) or Azure (Azure ML) or GCP other cloud platforms
• Experience with Docker, Jenkins, Kubernetes, and other DevOps tools.
• Good Programming skills (at least one of Python/ Spark/ R).
• Experience with Machine learning frameworks, libraries and agile environments.
• Experience with version control tools such as Git, Bitbucket etc.
• Experience with SQL and databases.
• Familiarity with Kubeflow or mlflow
• Understanding of Data Warehousing and data Lake concepts would be plus
• Very Strong communication skills
• Outstanding analytical and problem-solving skills.
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