Visionary AI Architect for Autonomous Systems

6 days ago

Kannur, Kerala, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 50,00,000

Imagine working on a cutting-edge project that revolutionizes the way businesses operate. As an early-stage company, we're seeking exceptional engineering talent who values purpose and long-term impact.

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

  • We offer true ownership through competitive equity packages, ensuring you directly benefit from the value you create.
  • You'll solve complex real-world problems with meaningful impact, shaping our product direction, company culture, and growth strategy.
  • Collaborate in a transparent leadership environment, with weekly strategy sessions and full visibility into company health and roadmap.
Required Skills:

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++).
Benefits:
  • 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.
Others:
  • Problem-Solving: Solving complex problems and identifying opportunities for improvement.
  • Teamwork: Collaborating with cross-functional teams to drive business outcomes.

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