Machine Learning Engineer (MLOPS)

Role & responsibilities

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

We are looking for a Senior / Lead ML 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
• Lead a team of data scientists and engineers to embed AI and analytics into the business decision processes.
• Perform a role that involves a combination of hands-on contribution and customer engagement.
• Switch between roles of an Individual Contributor, team member and solution architect as demanded by each project

Preferred candidate profile

• (4 to 8 years exp) of which (2 to 4 years )of relevant data science experience and at least 3 years of software development experience.
• Experience in devising creative analytical approaches to solve business problems
• Developing and enhancing algorithms and models to solve business problem
• Maintaining all models along with development and updating of code and process documentation
• Designing a solution approach, leading a team to deploy and maintain it in production.
• Proficient in Structured programming language is a must - such as Python, C/C++, Java is mandatory.
• Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders.
• Strong SQL skills.
• Good knowledge of Data science approaches, machine learning algorithms and statistical methods.
• ETL and Data Engineering pipelines using Spark/PySpark.
• Workflow orchestration tools like Airflow.
• Excellent written and verbal communication skills
• B. Tech from Tier-1 college / M.S or M. Tech is preferred