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Urgent! AI/ML Deployment Engineer Job Opening In Bengaluru – Now Hiring IndiHire Consultants

AI/ML Deployment Engineer



Job description

<p><p><b>AI/ML Deployment Engineer</b><br/><br/><b>Location :</b> PAN India (Hybrid options)<br/><br/><b>Joiners :</b> Immediate to 30 Days<br/><br/><b>Experience :</b> 6- 14 Years<br/><br/><b>Contract-to-Hire | 1+ Years (Extendable)</b><br/><br/>Do you have the expertise to take <b>GenAI & ML models</b> from experiment secure, production-ready deployment<br/><br/>This role is all about <b>embedding AI features</b> like :<br/><br/>- Smart Assistants<br/><br/>- RAG Search<br/><br/>- Summarisation<br/><br/>- Decision Support into real-world applications!<br/><br/><b>Key Responsibilities :</b><br/><br/>- Build & operate <b>end-to-end MLOps / LLMOps pipelines</b><br/><br/>- Containerise & serve AI/ML models with high scalability<br/><br/>- Manage <b>retrieval pipelines</b> & enforce SLOs (latency, throughput, cost)<br/><br/>- Integrate GenAI features with <b>web applications</b><br/><br/>- Support <b>POCs</b> for agentic workflows<br/><br/>- Implement <b>AI Governance, Safety & Compliance controls</b><br/><br/>- Monitor drift, hallucinations, & privacy risks<br/><br/>- Fine-tuning, prompt/policy optimisation & orchestration of LLMs<br/><br/>- Hands-on with <b>Kubernetes, Cloud, Vector Databases, Observability</b><br/><br/><b>What Were Looking For :</b><br/><br/>- 6- 14 Years of AI/ML Engineering experience<br/><br/>- Strong productionisation of LLMs (MLOps / LLMOps)<br/><br/>- Proven skills in Kubernetes, Cloud Platforms, Vector DBs<br/><br/>- Experience with Responsible AI practices<br/><br/>If you are <b>out of job, open to work, eager to contribute, and passionate about scaling GenAI</b>, this opportunity is for YOU!</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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