"About the role :

We are looking for a MLOps Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.

More specifically, you will :

- Collaborate with data scientists to transition machine learning models from development to production.

- Design and implement MLOps pipelines for model training, deployment, and monitoring on GCP.

- Utilize GCP services for version control, continuous integration, and continuous deployment (CI/CD) of machine learning models.

- Implement monitoring and logging solutions to track the performance and health of deployed models.

- Optimize and scale machine learning workflows on GCP to handle production workloads efficiently.

- Stay updated on the latest developments in MLOps practices and GCP services to ensure best practices are followed.

Desired Skills and Experience :

- 3+ years of experience with at least 3+ years of relevant DS experience.

- Good working knowledge on GCP

- Proficient in a structured Python

- Follows good software engineering practices and has an interest in building reliable and robust software.

- Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem

- Conducting quantitative analyses and interpreting results

- Working knowledge of Linux or Unix environments ideally in a cloud environment.

- Working knowledge of Spark/PySpark is desirable.

- Excellent written and verbal communication skills.

- B.Tech from Tier-1 college / M.S or M.Tech is preferred