Visionary Machine Learning Architect

1 week ago

Tiruppur, Tamil Nadu, India beBeeAutonomous Full time ₹ 20,00,000 - ₹ 80,00,000

Transformative ML Engineer Opportunity

We're pioneering the world's first fully autonomous software operations, and we seek exceptional talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation.

The Role:

  • Architect our AI-driven autonomous systems, influencing core ML infrastructure, model deployment strategies, and data engineering decisions.
  • Research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our company's future.

What Makes This Opportunity Different:

  • Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles.
  • True Ownership: Founding engineers receive substantial equity packages, ensuring you directly benefit from the value you create.
  • Technical Challenge: Solve complex real-world problems with meaningful impact.
  • Impact-Driven Culture: Directly influence product direction, company culture, and growth strategy.
  • Transparent Leadership: Collaborative environment, weekly strategy sessions, and full visibility into company health and roadmap.
  • Exponential Upside Potential: Your equity stake grows with company success—potential for life-changing returns as we scale.

Requirements:

  • 5+ years building and deploying production ML systems at scale.
  • Deep experience with transformer architectures, LLMs, and generative AI.
  • Mastery of ML pipeline orchestration, model monitoring, and A/B testing frameworks.
  • Proficiency in Python, PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++).
  • Experience deploying ML models in enterprise environments with strict SLAs.
  • Background in reinforcement learning, multi-agent systems, or autonomous decision-making.
  • Comfortable with large-scale data processing, feature engineering, and real-time inference.
  • Experience with cloud ML platforms (AWS SageMaker, Google AI Platform, or Azure ML).
  • Knowledge of model compression, quantization, and edge deployment.

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