Machine Learning Engineer - MLOps

**ML Engineer (ML Ops)Chennai / Bangalore / Hyderabad

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.

You are important to us, lets stay connected!Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.