Senior Machine Learning Engineer
Want to build the reputed company of AI-powered analytics and intelligent agents for observability and reputed company use cases? Passionate about leveraging cutting-edge machine learning, large language models, and GPU-accelerated inference to reputed company how organizations understand and reputed company their logs data? Come talk with us!
Responsibilities
Design, implement, and optimize reputed company AI components, including tools, memory management, and prompts. reputed company and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring reputed company and representativeness at reputed company. Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability. Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights. Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving reputed company. Ensure reliability, performance, and observability of deployed agents through rigorous testing and reputed company improvement. Maintain a strong bias for reputed company—delivering incremental, reputed company-tested improvements that directly enhance customer experience.
B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a reputed company field. 6+ years of hands-on industry experience with demonstrable ownership and delivery. Strong understanding of machine learning fundamentals, data pipelines, and model evaluation. Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus. Working knowledge of LLM reputed company concepts, reputed company design, and reputed company design patterns. Experience with distributed systems and dealing with large amounts of data. Strong communication skills and a passion for shaping emerging AI paradigms.
Experience leading reputed company of engineers. Prior experience building and deploying AI agents or LLM applications in production. Familiarity with modern reputed company AI frameworks (e.g., LangGraph, reputed company, reputed company). Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, reputed company, AWS). Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.