Building Revolutionary AI Solutions

2 days ago

Meerut, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,60,00,000 - ₹ 2,40,00,000
About Us & The Role

We are pioneering a revolutionary software operations platform that leverages AI to drive innovation. As an early-stage company driven by a meaningful mission, we seek exceptional talent who values purpose, long-term impact, and significant ownership.

As a Senior Machine Learning Engineer, you'll play a pivotal role in architecting our AI-driven systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions.

Key Benefits:

  • 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.

We Are 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++).
  • 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.

Are You Ready to Build Something Extraordinary? If you're eager to tackle genuinely impactful problems while building true ownership in a revolutionary company, send us your profile.

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