Description

About the Role The MLOps Engineer enables AI/ML and GenAI solutions to transition reliably from experimentation to enterprise-scale production. In addition to hands-on platform engineering, the role works with AI Engineers, Architects and stakeholders to assess production readiness, recommend deployment approaches and advise on scalability, reliability, security, observability and cost considerations. [MLOps_Engineer | Word]

Key Responsibilities

- Work with AI teams and stakeholders to understand scalability, availability, performance and operational requirements.
- Assess the production readiness of AI/ML and GenAI solutions and provide structured recommendations to close identified gaps.
- Design deployment architectures balancing performance, resilience, security and infrastructure cost.
- Build CI/CD and automated deployment pipelines for AI/ML solutions.
- Implement monitoring, logging, drift detection and observability.
- Establish model versioning, experiment tracking and registry practices.
- Design scalable model-serving infrastructure using Docker and Kubernetes. [MLOps_Engineer | Word]
- Partner with engineering teams to diagnose performance and production issues and develop resolution options.
- Communicate operational risks, dependencies and capacity constraints clearly to both technical teams and delivery stakeholders.
- Recommend optimisation opportunities covering inference performance, infrastructure utilisation, reliability and cost.




- Contribute to production-readiness reviews and advise stakeholders on whether solutions are sufficiently mature for deployment.

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 584121-584122
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Mohit Agrawal
- Relevant Experience : 6Yrs and 10Yrs
- Mandatory skills : Key Skills & Experience• Strong MLOps/LLMOps, cloud, CI/CD, Docker and Kubernetes capability. [MLOps_Engineer | Word]• Strong production problem-solving and root-cause-analysis skills.• Ability to assess alternatives and recommend fit-for-purpose operating approaches.• Strong cross-functional communication and ability to explain technical operational issues in business-relevant terms.
- Desired skills : Key Skills & Experience• Robust MLOps/LLMOps, cloud, CI/CD, Docker and Kubernetes capability. [MLOps_Engineer | Word]• Strong production problem-solving and root-cause-analysis skills.• Ability to assess alternatives and recommend fit-for-purpose operating approaches.• Strong cross-functional communication and ability to explain technical operational issues in business-relevant terms.
- Domain (Industry) : Insurance
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 6-10 Yrs
- BGC Details : Standard Infosys Checklist
- BGC Vendor : Any NASSCOM Vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 8:30 am to 6:00 PM
- Shift Timings : General

📌 584121-584122 | MLOps Engineer | INDIA
🏢 Trigent Software
📍 India