Model Deployment and Monitoring For leading NBFC

Roles and Responsibilities

Candidate should have hands-on experience as a Data Engineer/MLOps Engineer
Demonstrated ability, through hands-on experience, to develop production machine learning pipelines.
Working proficiency in using Python/Scala, Spark(tuning jobs), SQL, Hadoop platforms to build Big Data products &
platforms
Experience with data pipeline and workflow management tools: NIFI, Airflow.
Comfortable in developing shell scripts for automation
Experience with visualization tools like MS PowerBI
Curiosity, creativity, and excitement for technology and innovation
Demonstrated quantitative and problem-solving abilities
Ability to multi-task and strong attention to detail
Motivation, flexibility, self-direction, and desire to thrive on small project teams
Good communication skills - both verbal and written – and strong relationship, collaboration skills, and organizational
skills