Unlock Your Potential as a Sr. Machine Learning Engineer

1 day ago

Erode, Tamil Nadu, India beBeeMachine Full time ₹ 10,00,000

Unlock Your Potential as a Senior Machine Learning Engineer

Join a pioneering team revolutionizing software operations with AI-driven autonomy. Our mission is to create purpose-driven engineering opportunities that value long-term impact and equity ownership.

As a key member of our founding team, you'll play a crucial role in architecting our AI systems, shaping core ML infrastructure, model deployment strategies, and data engineering decisions.

With the freedom to research, experiment, and deploy cutting-edge solutions, you'll have substantial ownership in the company's future.

The Opportunity:

  • Autonomy: Set your own goals, timelines, and approaches without bureaucratic hurdles.
  • True Ownership: Founding engineers receive significant equity packages, ensuring direct benefits from created value.
  • Technical Challenge: Solve complex real-world problems with meaningful impact.
  • Impact-Driven Culture: Directly influence product direction, company culture, and growth strategy.
  • Exponential Upside Potential: Equity stake grows with company success—potential for life-changing returns as we scale.

Requirements:

  • Passionate Problem-Solver: Proactive engineer who identifies, iterates, and ships innovative solutions.
  • ML Expertise: 5+ years building and deploying production ML systems at scale.
  • Deep Learning Specialist: Hands-on experience with transformer architectures, LLMs, and generative AI.
  • MLOps Mastery: Expert in ML pipeline orchestration, model monitoring, and A/B testing frameworks.
  • Programming Excellence: Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++).

Our Promise to You:

  • No Bureaucracy: Unencumbered innovation with open communication.
  • Transparent Leadership: Collaborative environment with weekly strategy sessions.
  • Significant Equity Package: Founding-level equity stake reflecting early-stage commitment and risk.

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