Data Scientist

PURPOSE OF THE JOB

To lead development and scaling-up of production-ready AI systems. To combine traditional software engineering (frontend/backend) with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. This role needs hands-on technical expertise to drive innovation while mentoring high-performing teams.

KEY RESPONSIBILITIES:

Technical:

Design and architect end-to-end Data science, Machine Learning (ML), Deep Learning (DL) and Gen AI, Video Analytics solutions. Exposure to Agentic AI will be preferred. Lead the development and deployment of AI solutions, ML models and Gen AI solutions. Hands-on involvement in designing models, using AI solutions for code generation using tools such as Google CLI/Claude Desktop, reviewing code and troubleshooting issues in AI, ML, DL, Gen AI solutions. Drive adoption of Gen AI, Agentic AI solutions. Establish best practices for ML model development, testing, deployment and production monitoring. Experience with ML Ops will be preferred. Ensure scalable, robust, and maintainable data engineering pipelines and solutions Ensure designed AI solutions integrate seamlessly with existing Cloud Infrastructure, enterprise systems and platforms.

Leadership & Stakeholder Management:

Contribute to data-driven decision making across the unit and drive adoption of AI systems. Contribute to deliver excellent presentations to communicate strategy, project status and results, influencing key decision-makers. Provide technical mentorship and guidance to team on AI solutions Foster a collaborative, innovative team culture focused on continuous learning

REQUIREMENTS

Educational Qualifications Key Skills Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI, Agentic AI will be an added advantage. 8-15 years

of progressive experience in software development and extending into Data Science, AI ML, DL, Gen AI, Agentic AI technologies. Minimum 3 years of hands-on experience

in Data Science, ML, DL, Gen AI. (LLMs, RAG, Fine-tuning) Experience with cloud services on platforms like (AWS, GCP or Azure) Strong skills in designing & implementing DS, AI ML, ML Ops and Gen AI solutions using python, R, Scala, Spark. Strong foundation in Database systems, data modelling and data architecture (SQL, NoSQL, vector databases) Exposure to SAS VIYA analytics platform will be preferred Excellent written, verbal communication skills and excellent inter-personal and presentation skills. Excellent time management, escalation management and prioritization skills. Excellent problem-solving and critical thinking skills.

Experience Required 8-15

years

of experience as Lead S/W Engineer, Senior Data Scientist, Senior ML Engineer, Senior Gen AI Engineer