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
What do we expect?
6+ years exp of which 3+ 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