Senior Manager

Skills/ Qualifications Required:

• Relevant experience inML Engineering/ ML Ops role with an end-to-end understanding of ML based project's solution designing, development, implementation & deployment
• Should fulfill all the standardMLOps level 2 requirements for CI/CD + CT pipeline automation
• Strong grasp & hands on experience with production ready scalable code usingSQL (advance) andPython, along with an in-depth knowledge ofMachine Learning concepts
• Hands-on experience in working on AWS cloud stack
• Working experience Sagemaker, EC2, S3, EMR, Lambda Functions, Cloudwatch, etc.
• At least 2 year of experience in orchestrating ML Jobs on Airflow, Step Functions, Model registry etc.
• Knowledge ofJenkins for CI/CD tool
• Goodcommunication skills
• Experience with version control tools such asMLFlow, DVC, Pachydermetc.
• Good to have: Experience withGoogle Analyticsdata,PySpark