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