Senior Data Scientist Architect

2 weeks ago

Ajmer, Rajasthan, India beBeeEngineer Full time ₹ 15,00,000 - ₹ 20,00,000
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team. As a Founding Senior Machine Learning Engineer, you will be instrumental in architecting our AI-driven autonomous systems and directly influencing our 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. Our mission is to solve large enterprises' biggest data paradoxes and pioneer the world's first fully autonomous software operations.

This opportunity is different from others due to its unique compensation structure, which offers substantial equity packages to founding engineers, ensuring direct benefit from the value created.

  • Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles.
  • True Ownership: Directly benefit from the value created through substantial equity packages.
  • 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.

The ideal candidate is passionate about machine learning, has 5+ years of experience building and deploying production ML systems at scale, and is proficient in Python, with experience in PyTorch/TensorFlow and familiarity with systems languages (Go, Rust, C++).

Key requirements include:

  • 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.

If you're looking for a challenging opportunity that allows you to build something extraordinary and create significant technical challenges, apply now.

To expedite your application, please complete one of the following:

  1. Kaggle Competition: Participate in any active Kaggle competition and share your results.
  2. Research Contribution: Share a recent ML project, paper, or open-source contribution you're proud of.

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