"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 GCPProficient in a structured PythonFollows 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 problemConducting quantitative analyses and interpreting resultsWorking 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(ref : hirist.tech)