Autonomous Systems Pioneer: Leading the Charge in AI Innovation

18 hours ago

Bhavnagar, Gujarat, India beBeeInnovator Full time ₹ 20,00,000 - ₹ 50,00,000
Lead Machine Learning Innovator

The Role: An Unconventional Opportunity for Autonomous Systems Pioneer

You will play a pivotal role in designing and architecting our cutting-edge AI-driven autonomous systems, influencing the core ML infrastructure, model deployment strategies, and data engineering decisions.

This is a unique opportunity to take ownership of meaningful problems and implement impactful solutions, leveraging your expertise in machine learning and software operations.

A key aspect of this role is driving innovation through research, experimentation, and deployment of cutting-edge ML solutions. You will have the freedom to set goals, timelines, and approaches without bureaucratic hurdles.

The company offers a substantial equity package to founding engineers, ensuring you directly benefit from the value you create.

  • Key Responsibilities:
  • Design and develop autonomous systems using machine learning techniques
  • Collaborate with cross-functional teams to drive innovation and solve complex problems
  • Develop and maintain ML pipelines, ensuring efficient and scalable deployment
  • Contribute to the development of the company's technical roadmap and strategy

Required Skills:

ML Expertise:

  • Passionate problem-solver with 5+ years of experience in building and deploying production ML systems at scale
  • Deep understanding of machine learning concepts, including supervised and unsupervised learning, reinforcement learning, and transfer learning
  • Hands-on experience with transformer architectures, LLMs, and generative AI
  • Strong proficiency in programming languages such as Python, PyTorch, and TensorFlow

Technical Requirements:

  • Experience with enterprise AI deployments and cloud-based ML platforms (AWS SageMaker, Google AI Platform, or Azure ML)
  • Background in data engineering, with knowledge of large-scale data processing, feature engineering, and real-time inference
  • Familiarity with model compression, quantization, and edge deployment

Benefits:

  • True ownership through a substantial equity package
  • Freedom to execute and innovate without bureaucratic hurdles
  • Exponential upside potential through participation in funding rounds and liquidity events

What We Offer:

  • Accelerated application process for ML engineers
  • Opportunity to work on genuinely impactful problems and contribute to the company's growth strategy
  • Transparent leadership and collaborative environment

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