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Urgent! Platform9 - Machine Learning Engineer - Agentic AI & AIOps Job Opening In India, India – Now Hiring Platform9

Platform9 Machine Learning Engineer Agentic AI & AIOps



Job description

<p><b>Roles and Responsibilities :</b><br/><br/><b></b>- Develop Intelligent AI Solutions - Leverage state of the art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems<br/><br/>- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.<br/><br/>- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration.

Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.<br/><br/>- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.<br/><br/>- Collaborate with cross-functional engineers to deliver high-impact operational experience<br/><br/>- Serves as a subject matter expert on a wide range of ML techniques and optimizations.<br/><br/>- Mentor & Share Best Practices - Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.<br/><br/><b>Qualifications and Skills :</b><br/><br/>- Minimum Bachelors degrees in Data science or a related field.

<br/><br/>- 5+ years of experience (at least 2 years working on generative AI technologies)<br/><br/>- Solid understanding of transformers, modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.<br/><br/>- Strong proficiency in Python.

Additionally, exposure to Golang is a plus<br/><br/>-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.<br/><br/>- Proven ability to build scalable, reliable production services.<br/><br/>- Ability to work on tasks and projects through to completion with limited supervision.<br/><br/><b>Distinguish yourself with : </b><br/><br/><b></b>- Agentic AI Mastery - Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.<br/><br/>- LLM Inference Optimization - Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.<br/><br/>- End-to-End ML Systems Ownership - A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.</p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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