Founding Architect of Artificial Intelligence Solutions

2 weeks ago

kozhikode, India beBeeExpert Full time

Unlock Your Potential as a Founding Sr. Machine Learning EngineerWe're not just another startup – we're solving large enterprises' biggest data paradoxes and pioneering the world's first fully autonomous software operations.As an early-stage company driven by a meaningful mission, we seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation.**Architect Our AI-Driven Autonomous Systems**Design and develop cutting-edge ML solutions while building substantial ownership in our company's future.What Makes This Opportunity Unique: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.Exponential Upside Potential: Your equity stake grows with company success—potential for life-changing returns as we scale.**We're Looking for the Best of the Best**ML ExpertisePassionate 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++).**Technical Requirements:**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.Purpose-driven innovation requires bold thinkers like you. Let's build something extraordinary together],

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