Path to a ₹40 LPA Salary in AI and ML

High-paying AI and ML roles are typically built over defined stages of skill depth, system ownership, and measurable business impact. Compensation growth is closely tied to the complexity of problems solved and the scale of responsibility handled.

This career masterclass provides a structured roadmap to reaching ₹40 LPA in AI and ML roles. The session explains how AI careers progress across engineering, applied AI, and GenAI domains, how to assess your current readiness, and how to plan skill development strategically rather than reactively.

You will see how salary growth aligns with responsibility, how role transitions typically happen, and how structured preparation supports long-term career progression.

The masterclass concludes with a preview of the Professional Certificate Program in Generative AI, Machine Learning, and Intelligent Automation and how structured learning supports accelerated growth in AI and ML careers.

Mar 18, 2026 | 8 PM IST | 10:30 AM ET (EDT)

What You’ll Learn in This Session

• What ₹40 LPA AI/ML Careers Look Like in Practice: Understand how responsibilities, system ownership, and impact increase as compensation grows.
• Role-Based Career Roadmap: See how AI and ML careers typically progress from entry-level to senior and leadership roles.
• Skills to Build at Each Stage: Learn which technical and problem-solving capabilities matter at different career levels.
• When to Pivot and When to Deepen Expertise: Understand how to evaluate timing for role transitions into AI, GenAI, or MLOps pathways.
• Assessing Your Current Position Objectively: Use a structured approach to identify skill gaps and readiness for higher-paying roles.
• How Structured Upskilling Supports Salary Growth: See how guided programs help professionals build portfolio depth and interview readiness.

About the Speaker

Supriya Raman is a Senior AI Engineering Manager at IBM, specializing in Generative AI and Natural Language Processing within the watsonx Client Engineering team. She leads enterprise AI initiatives focused on applied AI systems and model deployment at scale.

Previously, she served as Senior Vice President at JPMorgan Chase & Co., where she directed large-scale model development and analytics solutions in complex regulatory environments.

In addition to her industry leadership, she serves as a Women Techmakers Ambassador at Google, a Community Builder with AWS, an IBM Academic Ambassador, and an AI mentor supporting emerging professionals in the field.

In this session, Supriya will explain how AI careers evolve, how compensation aligns with responsibility and impact, and how professionals can plan structured growth toward ₹40 LPA roles.

After the session, registered attendees will receive From Resume to Offer: A Step-by-Step AI/ML Interview Prep Guide, a downloadable preparation guide that outlines resume screening expectations, technical interview stages, case discussions, and behavioral evaluation criteria for AI and ML roles.

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