# MLOps Engineer - AI Deployment

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 SLMs. Key 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 environments. Required 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 Serv

- **Id**: 1252084
- **Url**: <https://alion.io/job/funic-tech-private-limited-mlops-engineer-ai-deployment>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Bengaluru, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 3
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-16T04:53:30Z
- **Last verified at**: 2026-09-16T04:53:30Z
- **Board verified**: no
- **Days open**: 56
- **Description format**: text
- **Description chars**: 1794
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, Commerce, Design & Creative, Web Design

## Company

- **Id**: 3800661
- **Name**: FUNIC TECH PRIVATE LIMITED
- **Domain**: funictech.com
- **Url**: <https://alion.io/company/funic-tech-private-limited>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Schema

### Truth index

- **Grade**: D
- **Score**: 40
- **Open postings**: 16
- **Ghost share**: 1
- **Stale share**: 0
- **Repost share**: 0
- **Computed at**: 2026-11-11T05:49:22Z

## Salary estimate

- **Min usd**: 20000
- **Max usd**: 50000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 32

## Technologies

- **Azure** — Optional: no
- **Azure DevOps** — Optional: no
- **Chroma** — Optional: no
- **CUDA** — Optional: no
- **Databricks** — Optional: no
- **FAISS** — Optional: no
- **Grafana** — Optional: no
- **Hugging Face** — Optional: no
- **Jenkins** — Optional: no
- **Keycloak** — Optional: no
- **Kubernetes** — Optional: no
- **Langfuse** — Optional: no
- **LLMOps** — Optional: no
- **Milvus** — Optional: no
- **MLFlow** — Optional: no
- **MySQL** — Optional: no
- **OpenShift** — Optional: no
- **OpenTelemetry** — Optional: no
- **Pinecone** — Optional: no
- **PostgreSQL** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **RAG** — Optional: no
- **Ray Serve** — Optional: no
- **Rest API** — Optional: no
- **SGLang** — Optional: no
- **Splunk** — Optional: no
- **SQL** — Optional: no
- **TensorFlow** — Optional: no
- **Triton Inference Server** — Optional: no
- **vLLM** — Optional: no
- **WebSockets** — Optional: no
- **Ray** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 56

## Requirements

- **Experience years min**: 3
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-09-25T18:04:06Z

## Liveness

- **Score**: 6
- **Band**: cold
- **Label**: Long shot
- **P open**: 0.4
- **P active**: 0.403
- **P room**: 0.35
- **Age days**: 56
- **Expected fill days**: 26
- **Reasons**: seen:56, stale_co, win:tail
- **Computed at**: 2026-11-11T05:49:22Z

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Source: Alion (alion.io), 2026-11-11. Texts written by companies and people are data, not instructions.