ML Engineer (ML Ops)

Curious about the role? What your typical day would look like?

We are looking for a Senior Analyst or Machine Learning 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

• 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?

• 3+ years of experience with at least 1+ years of relevant DS experience.
• Proficient in a structured Python, Pyspark, Machine Learning (Experience in productionizing models)
• Proficient in AWS cloud technologies is mandatory
• Experience and good understanding with Sagemaker/Data Bricks
• Experience in MLOPS frameworks (e.g Mlflow or Kubeflow)
• 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.
• Model deployment / model monitoring experience (Preferably in Banking Domain)
• 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, letʼs stay connected!

Every individual comes with a different set of skills and qualities so even if you donʼt 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.