Transforming Business with Cutting-Edge Artificial Intelligence

5 days ago

Hubli, Karnataka, India beBeeMachine Full time ₹ 10,00,000 - ₹ 15,00,000

About us

We're a pioneering company solving large enterprises' biggest data paradoxes.

As an early-stage company driven by a meaningful mission, we seek exceptional engineering talent who values purpose, long-term impact, and significant ownership.

As a Founding Senior Machine Learning Engineer, you'll architect our AI-driven autonomous systems, directly influencing ML infrastructure, model deployment strategies, and data engineering decisions.

You'll 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 direct benefit from the value created.
  • 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: Equity stake grows with company success—potential for life-changing returns as we scale.

Our ideal candidate:

  • Believes work should be meaningful and aligned with values.
  • Seeks freedom to turn cutting-edge research and ideas into reality.
  • Is tired of incremental feature development on uninspiring products.
  • Wants to build something from scratch with significant technical challenges.
  • Dreams big and prioritizes ownership, autonomy, and exponential growth potential over guaranteed salary.
  • Thrives without hand-holding and proactively creates their own direction.
  • Is financially positioned to accept equity-only compensation during our early growth phase.

Required skills and qualifications:

  • ML Expertise
    • Passionate Builder: Proactive problem-solver who identifies, iterates, and ships solutions.
    • ML Veteran: 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++).
  • Technical requirements:
    • 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.

Benefits:

  • Freedom to execute and set own goals and timelines.
  • Substantial equity package for founding engineers.
  • Opportunity to solve complex real-world problems.
  • Direct influence on product direction and company culture.
  • Collaborative environment with transparent leadership.
  • Exponential upside potential with equity stake growth.

Others:

Please note that financial compensation is based on equity only during our early growth phase.

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