Pioneering AI Researcher and Leader

2 days ago

Gandhinagar, Gujarat, India beBeeVisionary Full time ₹ 60,00,000 - ₹ 70,00,000
Revolutionize Your Career

We are seeking a visionary Senior Machine Learning Engineer to spearhead the development of our AI-driven autonomous systems. As a key member of our team, you will have the opportunity to architect and deploy cutting-edge ML solutions that drive meaningful impact.

This is an equity-only position, offering a unique chance to own a significant stake in our company's future. If you're passionate about pioneering new technologies and shaping the industry, we invite you to join us on this exciting journey.

  • 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.
The Ideal Candidate

We're looking for a seasoned ML expert with:

  • 5+ years building and deploying production ML systems at scale.
  • Hands-on experience with transformer architectures, LLMs, and generative AI.
  • Expertise in ML pipeline orchestration, model monitoring, and A/B testing frameworks.
  • Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++).
Benefits and Opportunities

As a valued member of our team, you can expect:

  • Enterprise AI: Experience deploying ML models in enterprise environments with strict SLAs.
  • Autonomous Systems: Background in reinforcement learning, multi-agent systems, or autonomous decision-making.
  • Data Engineering: Comfortable with large-scale data processing, feature engineering, and real-time inference.
  • Cloud ML Platforms: Experience with AWS SageMaker, Google AI Platform, or Azure ML.
  • Model Optimization: Knowledge of model compression, quantization, and edge deployment.

Accelerate your career and join us in building something extraordinary

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