Senior/Lead Machine Learning Engineer - Data Science (6-10 yrs)

About the role :

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

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