Deputy Vice President/Assistant Vice President/Senior Manager - Data Science - AI/ML Domain

As a candidate for the role of leading development and scaling-up of production-ready AI systems, you will be responsible for combining traditional software engineering with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. Your role will involve hands-on technical expertise to drive innovation while mentoring high-performing teams.

Key Responsibilities:

• 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.
• Deliver excellent presentations to communicate strategy, project status and results, influencing key decision-makers.
• Provide technical mentorship and guidance to the 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 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 modeling, 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. As a candidate for the role of leading development and scaling-up of production-ready AI systems, you will be responsible for combining traditional software engineering with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. Your role will involve hands-on technical expertise to drive innovation while mentoring high-performing teams.

Key Responsibilities:

• 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.
• Deliver excellent presentations to communicate strategy, project status and results, influencing key decision-makers.
• Provide technical mentorship and guidance to the 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 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 AW