Visionary AI Architect

3 days ago

Lucknow, Uttar Pradesh, India beBeeAI Full time ₹ 10,00,000 - ₹ 50,00,000
Unlock Your Potential as a Founding Sr. Machine Learning Engineer

We are revolutionizing the way large enterprises tackle their biggest data paradoxes, pioneering fully autonomous software operations that will transform industries.

This is an exceptional opportunity for engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation.

As a Founding Senior Machine Learning Engineer, you will play a crucial role in architecting our AI-driven autonomous systems, influencing core ML infrastructure, model deployment strategies, and data engineering decisions.

You will 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:
  • Freedom to Execute: 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.

Key Responsibilities:

Machine Learning 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

We Offer:

Benefits
  • Zero Bureaucracy: No VP approvals or innovation theater—just you, meaningful problems, and the freedom to solve them.
  • Transparent Leadership: Open, collaborative culture with weekly strategy sessions.
  • Impact-Driven Culture: Your voice directly shapes our product and strategy.
  • Significant Equity Package: Founding-level equity stake that reflects your early-stage commitment and risk.

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