Senior Machine Learning Engineer/Architect

Role & responsibilities

We are looking for a 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

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

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.