AI Innovation Architect

4 days ago

Vellore, Tamil Nadu, India beBeeExpert Full time ₹ 10,00,000 - ₹ 1,00,00,000

Transformative AI Engineer: Unleashing Autonomous Innovation

We're driven by a profound mission to pioneer the world's first fully autonomous software operations, and we seek exceptional talent who shares our commitment to purpose and long-term impact. As an early-stage company, we're not constrained by traditional salary compensation; instead, we offer substantial equity packages that reflect your risk and ownership.

As a Founding Senior Machine Learning Engineer, you'll be instrumental in architecting our AI-driven autonomous systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions. You won't just be implementing models—you'll have the freedom to research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our company's future.

What Sets This Opportunity Apart:

  • Autonomy and Freedom: Set your own goals, timelines, and approaches without bureaucratic hurdles.
  • True Ownership: Founding engineers receive substantial equity packages (competitive with senior engineer salaries at scale), 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.

What We're Looking For:

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++).

Key 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.

Ready to Build Something Extraordinary? If you're done optimizing ad algorithms or CRUD apps and eager to tackle genuinely impactful problems while building true ownership in a revolutionary company, send us your profile.

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