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, 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

Perks and benefits