Senior Autonomous Systems Architect

1 week ago

kollam, India beBeeMachine Full time

Impact-Driven Senior ML EngineerWe're seeking a seasoned Senior Machine Learning Engineer to join our team and drive the development of our AI-driven autonomous systems. As a founding member, you'll play a crucial role in shaping our core ML infrastructure, model deployment strategies, and data engineering decisions.Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles.True Ownership: Founding engineers receive substantial equity packages, ensuring direct benefit from created value.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.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're looking for someone who can research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our company's future.Key Responsibilities:Design and develop large-scale machine learning models using PyTorch or TensorFlow.Implement and optimize MLOps pipelines using AWS SageMaker, Google AI Platform, or Azure ML.Collaborate with cross-functional teams to integrate ML models into production-ready software applications.Develop and maintain high-quality documentation for ML pipelines and models.Required Skills:5+ years of experience in building and deploying production ML systems at scale.Deep knowledge of transformer architectures, LLMs, and generative AI.Expertise in MLOps pipeline orchestration, model monitoring, and A/B testing frameworks.Proficiency in Python, with experience in PyTorch, TensorFlow, and familiarity with systems languages (Go, Rust, C++).Benefits:Zero Bureaucracy: No VP approvals or innovation theater—just you, meaningful problems, and the freedom to solve them.Transparent Leadership: Open, collaborative culture with weekly strategy sessions.Impact-Driven Culture: Your voice directly shapes our product and strategy.How to Apply:Share your most recent ML project, paper, or open-source contribution that showcases your expertise.Participate in an active Kaggle competition and share your results.

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