Visionary AI Architect

2 weeks ago

Cochin, Kerala, India beBeeExpert Full time ₹ 1,20,00,000
Transformative AI Engineer

We're on a mission to revolutionize data operations and pioneer autonomous software systems. As a pioneering Sr. Machine Learning Engineer, you'll have the opportunity to architect groundbreaking AI-driven solutions, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions.

  • Freedom to Innovate: 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.

What We're Looking For:

A highly skilled engineer with expertise in machine learning, deep learning, and MLOps. Experience with enterprise AI, autonomous systems, data engineering, and cloud-based ML platforms is required.

Required Skills and Qualifications:

  • Passionate Problem-Solver: Proactive solution developer who identifies, iterates, and ships impactful results.
  • ML Expertise: 5+ years of experience building and deploying production ML systems at scale.
  • Deep Learning Specialist: Hands-on experience with transformer architectures, LLMs, and generative AI.
  • MLOps Mastery: Expertise 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++).

Benefits:

  • Accelerated Growth Potential: Significant equity stake grows with company success—potential for life-changing returns as we scale.
  • Meaningful Work: Contribute to genuine problems that drive positive change.
  • Collaborative Environment: Collaborate with like-minded professionals who prioritize purpose over compensation.

How to Apply:

To demonstrate your skills and commitment, participate in a Kaggle competition or share a recent ML project, paper, or open-source contribution you're proud of.

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