Machine Learning Engineer - MLOps

Curious about the role

What your typical day would look like

We are looking for a Machine Learning Engineer/Sr MLE 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

• Engage with clients to understand their business context.
• Translate business problems and technical constraints into technical requirements for the desired analytics solution.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.

What do we expect

• 6+ years of experience with at least 4+ years of relevant MLOps experience.
• Proficient in a structured Python (Mandate)
• Proficient in any one of cloud technologies is mandatory (AWS/ Azure/ GCP)
• Proficient in Azure Databricks
• Follows good software engineering practices and has an interest in building reliable and robust software.
• Good understanding of DS concepts and DS model lifecycle.
• Working knowledge of Linux or Unix environments ideally in a cloud environment.
• Working knowledge of Spark/ PySpark is desirable.
• Model deployment / model monitoring experience is desirable.
• CI/CD pipeline creation is good to have.
• Excellent written and verbal communication skills.
• B.Tech from Tier-1 college / M.S or M. Tech is preferred.