Associate - Data Science - Advisory Corporate

A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Build, Train, and Deploy ML Models using Python on Azure/AWS
• 3+ years of Experience in building Machine Learning and Deep Learning models in Python
• Experience on working on AzureML/AWS Sagemaker
• Ability to deploy ML models with REST based APIs
• Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to work directly with customers with good communication skills.
• Ability to analyze datasets using SQL, Pandas
• Experience of working on Azure Data Factory, PowerBI
• Experience on PySpark, Airflow etc.
• Experience of working on Docker/Kubernetes

Mandatory skill sets: Data Science, Machine Learning

Preferred skill sets: Data Science, Machine Learning

Years of experience required: 3 - 6

Education qualification: B.Tech / M.Tech / MBA / MCA