Vacancy description
Funic Tech
India, Bengaluru
Funic Tech - MLOps Engineer - AI Deployment in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role:We are looking for a hands-on MLOps Engineer specializing in ML engineering, model deployment, model governance, and observability. The role covers the complete lifecycle of Deep Learning models, LLMs, and https://jobeax.com/link/S3kBynSDsnH6JK7i Responsibilities:- Build and manage MLOps and LLMOps pipelines.- Deploy, host, and scale Deep Learning models, LLMs, and SLMs.- Manage model versioning, deployment, rollout, rollback, and retirement.- Host models on Databricks, Kubernetes, OpenShift, and GPU infrastructure.- Implement model governance, lineage, approval workflows, and compliance controls.- Build monitoring, tracing, logging, and drift-detection capabilities.- Optimize model latency, throughput, GPU utilization, and cost.- Support cloud, on-premises, hybrid, and air-gapped https://jobeax.com/link/72xljNf4GfrhBYcv Skills:- 3 - 5 years in MLOps, LLMOps, ML Engineering, or AI Engineering.- Strong Python.- Hands-on Databricks and/or Azure ML.- Experience with Deep Learning, LLMs, SLMs, RAG, and Hugging Face.- Experience deploying PyTorch and TensorFlow models.- Strong Kubernetes, Databricks, and GPU deployment experience.- Experience with vLLM, Triton Inference Server, Ray Serve, SGLang, or Databricks Model Serving.- Strong NVIDIA GPU and CUDA knowledge.- Model Registry, Governance, Monitoring, Drift Detection, and AI Observability.- SQL Server, PostgreSQL, Oracle, MySQL, or MongoDB.- Vector databases such as Pinecone, Chroma, FAISS, Milvus, or Azure AI Search.- REST APIs, WebSockets, and Streaming MLflow, OpenTelemetry, LangFuse, Splunk, and Grafana/ELK.- Jenkins and Azure DevOps.- Keycloak/authentication setup experience. (ref:hirist.tech)
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