Principal Machine Learning Engineer

2 days ago

Bengaluru, Karnataka, India beBeeTechnical Full time ₹ 2,40,00,000 - ₹ 3,20,00,000
Transform Lives through AI

Our mission is to empower professionals and businesses to achieve more in their careers.

Empowering millions of companies to connect with their future customers and drive economic value requires innovative products and technology.

Staff Machine Learning Engineer Position

This role involves technical leadership within the AI team, going beyond model building – you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI.

Combining deep research expertise with production-grade ML systems at scale, you will partner across engineering, product, and research to deliver transformative AI solutions.

Key Responsibilities:
  • Design, develop, and deploy state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
  • Define and drive the technical roadmap and architecture for end-to-end AI systems within the organization, ensuring scalability, reliability, and innovation.
  • Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
  • Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
  • Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across the organization.
  • Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
  • Represent the organization in external venues by showcasing advances in applied AI research and engineering.

For this position, we require expertise in machine learning, artificial intelligence, or related fields. This includes hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.

Requirements:
  • MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.
  • 8+ years of experience in machine learning, artificial intelligence, or related fields.
  • 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
  • Hands-on experience with end-to-end ML lifecycle.
  • Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.
Desirable Skills:
  • Machine Learning
  • Large Language Models
  • Generative AI
  • Search & Recommendations
  • Reinforcement Learning
  • Technical Leadership
  • Cross-Functional Collaboration

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