Pioneering Sr. Machine Learning Engineer

1 week ago


pune, India beBeeMachine Full time

About This OpportunityAre you ready to spearhead the development of autonomous AI systems that revolutionize software operations? As a Founding Sr. Machine Learning Engineer, you'll be instrumental in designing and implementing cutting-edge ML solutions, directly influencing our core infrastructure and model deployment strategies.At our early-stage company, we're driven by a meaningful mission to solve large enterprises' biggest data paradoxes. We seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional compensation. You'll have the freedom to research, experiment, and deploy innovative ML solutions while building substantial ownership in our company's future.What sets this opportunity apart?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.RequirementsWe're looking for an experienced ML expert with:Passionate Problem-Solving Skills: Proactive solution provider who identifies, iterates, and ships cutting-edge ML solutions.ML Expertise: 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++).Key Skills and QualificationsEnterprise AI Experience: Deployed ML models in enterprise environments with strict SLAs.Autonomous Systems Background: Reinforcement learning, multi-agent systems, or autonomous decision-making expertise.Data Engineering Skills: Comfortable with large-scale data processing, feature engineering, and real-time inference.Cloud ML Platforms Familiarity: AWS SageMaker, Google AI Platform, or Azure ML experience.Model Optimization Knowledge: Model compression, quantization, and edge deployment expertise.Benefits and OpportunitiesJoin us for: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.Significant Equity Package: Founding-level equity stake reflecting your early-stage commitment and risk.



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