Visionary AI Architect

2 days ago

thrissur, India beBeeMachine Full time

Founding Sr. Machine Learning EngineerFreedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles. 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.Apply Only If You:Believe your work should be meaningful and aligned with your values.Seek freedom to turn cutting-edge research and ideas into reality.Are tired of incremental feature development on uninspiring products.Want to build something from scratch with significant technical challenges.Dream big and prioritize ownership, autonomy, and exponential growth potential over guaranteed salary.Thrive without hand-holding and proactively create your own direction.Are financially positioned to accept equity-only compensation during our early growth phase.Zero Bureaucracy:No VP approvals or innovation theater—just you, meaningful problems, and the freedom to solve them.Key Skills: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++).Benefits:Significant Equity PackageTransparent Leadership:Open, collaborative culture with weekly strategy sessions.Impact-Driven Culture: Your voice directly shapes our product and strategy.What We're Looking For: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.No great engineer ever joined a startup just for salary—join us for the mission, the freedom, the opportunity to turn your boldest ideas into reality, and the chance to own a meaningful piece of the future we're building together.

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