Transforming Business through Artificial Intelligence

2 weeks ago


junagadh, India beBeeInnovation Full time

Unlocking AI InnovationAs a Founding Senior Machine Learning Engineer, you will play a pivotal role in shaping our autonomous software operations.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.You'll have the freedom to research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our company's future.As a key architect of our AI-driven systems, you'll be instrumental in designing our core ML infrastructure, model deployment strategies, and data engineering decisions.Expertise Requirements:Passionate Builder: Proactive problem-solver who identifies, iterates, and ships solutions.ML Veteran: 5+ years building and deploying production ML systems at scaleDeep Learning Specialist: Hands-on experience with transformer architectures, LLMs, and generative AIMLOps Mastery: Expert in ML pipeline orchestration, model monitoring, and A/B testing frameworksProgramming Excellence: Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++)Technical Capabilities:Enterprise AI: Experience deploying ML models in enterprise environments with strict SLAsAutonomous Systems: Background in reinforcement learning, multi-agent systems, or autonomous decision-makingData Engineering: Comfortable with large-scale data processing, feature engineering, and real-time inferenceCloud ML Platforms: Experience with AWS SageMaker, Google AI Platform, or Azure MLModel Optimization: Knowledge of model compression, quantization, and edge deployment



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