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Coimbatore · Hybrid · 5-8 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Job Title: MLOps / AI Infrastructure Engineer
Responsibilities
- 5–8 years of experience in Software Engineering, Platform Engineering, DevOps, SRE, MLOps, or related infrastructure roles.
- Strong hands-on experience with Kubernetes, including development of Kubernetes Operators and Custom Resource Definitions (CRDs) using Kubebuilder, Operator SDK, or equivalent frameworks.
- Strong experience designing and operating cloud-native infrastructure on AWS, particularly:
- Amazon EKS
- EC2
- ECR
- IAM
- VPC
- CloudWatch
Qualifications
- Job Type: Full-time
- Job Summary
- We are looking for an experienced MLOps / AI Infrastructure Engineer with strong expertise in Kubernetes, AWS, cloud-native infrastructure, GPU workloads, and production ML/GenAI model serving.
- The ideal candidate will have hands-on experience building and operating scalable AI platforms, Kubernetes-based infrastructure, and production-grade model-serving environments.
- Hands-on experience running and troubleshooting GPU-accelerated workloads on Kubernetes, including GPU scheduling, utilization, memory constraints, and performance optimization.
- KServe
- NVIDIA Triton Inference Server
- vLLM
- Ray Serve
- TorchServe
- or equivalent frameworks.
- Strong programming skills in Go or Python, with experience developing production-grade APIs, controllers, or distributed backend services.
- Strong understanding of Linux, networking, storage, security, and distributed systems.
- Excellent debugging, problem-solving, communication, and cross-functional collaboration skills.
- Familiarity with AWS Inferentia, AWS Trainium, Amazon SageMaker, or Amazon Bedrock.
- Ideal Candidate
- The ideal candidate is a hands-on engineer who can work across Kubernetes + AWS + MLOps + GPU infrastructure + AI/LLM serving, and who is comfortable building reliable, scalable, production-grade AI infrastructure.
- Pay: ₹923,856.93 - ₹3,000,000.00 per year
- Work Location: In person
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Job application FAQ
Last updated 14 October 2026
- How do I apply for ML Ops at Sama.AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Sama.AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Ops role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ML Ops remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked hybrid with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this ML Ops role at Sama.AI?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.