AI Systems Architect

6 days ago

vadodara, India beBeeMachineLearning Full time

About Truxt.ai and the RoleAt a pioneering startup, you'll architect AI-driven systems, influence core ML infrastructure, model deployment strategies, and data engineering decisions. As a senior engineer, you'll research, experiment, and deploy cutting-edge ML solutions with substantial ownership in our company's future.The Opportunity is Different:Freedom to Execute: Set your own goals and timelines without bureaucratic hurdles.True Ownership: Founding engineers receive substantial equity packages for direct benefit from their work.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 with weekly strategy sessions and full visibility into company health and roadmap.Exponential Upside Potential: Equity stake grows with company success—potential for life-changing returns as we scale.Key Responsibilities:Passionate Builder: Proactive problem-solver who identifies, iterates, and ships solutions.ML Expertise: 5+ years building production ML systems at scale and 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, PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++).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.

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