Senior Machine Learning/AI Engineer Stealth Startup

5.0 - 9.0 years

0 Lacs

haryana

On-site

As an AI/ML, Data Science Engineer, you will have the exciting opportunity to be at the forefront of building the future of Observability powered by AI agents. If you are enthusiastic about working on Time-Series and Causal Analysis at scale, and eager to innovate and construct time-series LLMs, then this is the perfect role for you. The fast-paced startup environment will allow you to make a real impact as we redefine Observability with Agentic AI. Joining our team means you will have the chance to innovate alongside a dynamic team that is developing next-gen AI-driven infrastructure. Your contributions will play a significant role in shaping the next generation of Observability. As an early member of our AI/ML team, you will be hands-on in applying time-series and causal analytics to solve complex observability problems. Your responsibilities will include working on building model evaluation frameworks and innovating on constructing time-series LLMs. You will get the best of both worlds - the agility and innovation of a startup, coupled with the challenge of discovering deep hidden behavior patterns and causal relationships using traditional and new state-of-the-art methods. Working closely with a seasoned and talented founding team, who have successfully built multiple billion-dollar products from the ground up, will provide you with valuable insights into how things are developed from scratch in deep-technology startups. In this role, you will need to have hands-on experience with time-series algorithms, causal analytics, building model evaluations at scale, and deploying them in production. Additionally, expertise in Python, PyTorch, Causal Analysis & Time Series Analysis libraries is required. Your extensive experience in Time-Series Analysis, proven ability in building, deploying, and optimizing time-series models, expertise in Causal Analytics, and hands-on experience with large-scale structured and unstructured datasets will be crucial. You should have a deep understanding of MLOps pipelines, be proficient in LLM fine-tuning & distillation, and have a track record of developing robust, scalable ML pipelines. Passion for AI and leveraging cutting-edge technologies, curiosity, thinking differently to challenge inefficiencies in the status quo, and a problem-solver mindset are qualities we are looking for in potential candidates. Join us to be a key player in defining the future of Observability. If you are seeking a high-impact, high-growth opportunity, we would love to have a conversation with you.,

Posted 1 week ago

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