IND Senior Associate-Client Relations

Job Summary

General description of role: As part of the Rewards Innovation Team, you will work on building complex analytics and data-driven solutions that support global clients and strategic business initiatives. The role offers opportunities to solve challenging business problems through data science, machine learning, data engineering, and advanced analytics while collaborating with stakeholders across functions. It is a unique opportunity to be part of a small team and get visibility amongst leadership. You will contribute to the design, development, deployment, and continuous improvement of scalable analytical products and platforms that drive business impact.

Job Details

• Job Title: IND Senior Associate Consultant - HCS-RIT Solution Line - Talent Solutions
• Work Location: Gurgaon
• Working style: Hybrid
• Sub ARL: 6.2
• Cab Facility: Yes
• Shift Time: 12PM to 9PM
• People Manager role: No
• Required education and certifications: Graduate / Postgraduate
• Required years of experience: 7 year work experience

Responsibilities

• Design, develop, and maintain data pipelines, databases, and analytical solutions using SQL, Python, Databricks, and cloud-based platforms.
• Optimize model inference, manage cloud compute resources, and improve platform performance through compute configuration (e.g., parallelization, distributed processing, data partitioning strategies), performance tuning, and deployment automation.
• Implement MLOps best practices for model lifecycle management, and contribute to deployment, monitoring, and continuous improvement of production-grade ML and analytics solutions.
• Collaborate with data scientists to productionize models, turn notebooks into robust Databricks jobs, and industrialize PoC experimentation into reliable services.

Skills

• Strong skills in machine learning, data engineering, data warehousing, Python programming, and PySpark.
• Advanced knowledge of Databricks in production, including Spark, Delta Lake, and Databricks SQL is required; Spark Declarative Pipelines (SDP) and Declarative Automation Bundles (DAB) are preferred.
• Experience implementing MLOps/DevOps practices, including CI/CD (e.g., Azure DevOps), environment management, and automated deployment across development, staging, and production environments.
• Experience collaborating with cross-functional teams including Data Science, Data Engineering, Consulting, and other Engineering teams.
• Proficient English Communication, with ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Qualifications

• Education: Graduate / Postgraduate
• Experience: 7 year work experience

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