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

Key Skills:

- 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

Educational Qualifications:

- 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