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Futops Technologies India Pvt. Ltd
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Gurugram · On-site · 5-8 Yrs · Oct 10
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Education: B.Tech / B.E. (Computer Science, IT, or related discipline) or equivalent practical experience
Responsibilities
- We are looking for experienced MLOps / DevOps Engineers to support a large-scale application migration and modernization program. The role involves migrating existing applications and ML workloads to containerized, cloud-native platforms using OpenShift and AWS ROSA, while ensuring scalability, reliability, and operational excellence.
- You will work closely with platform, ML, and application teams to redesign, migrate, deploy, and operate workloads in a modern DevOps/MLOps ecosystem.
- Lead and execute application and ML workload migrations from legacy or VM-based environments to containerized platforms.
- Design, deploy, and manage infrastructure on AWS, with a strong focus on ROSA (Red Hat OpenShift on AWS).
- Build and operate CI/CD pipelines for application and ML lifecycle management.
- Implement MLOps practices for model training, deployment, versioning, monitoring, and rollback.
- Collaborate with development and data science teams to optimize performance, cost, and scalability.
- Ensure platform reliability through monitoring, alerting, logging, and automation.
- Participate in troubleshooting, root cause analysis, and continuous improvement initiatives.
Qualifications
- 5+ years of hands-on DevOps / MLOps experience in production environments.
- Strong experience with Docker, Kubernetes, and container orchestration.
- Practical experience with OpenShift; AWS ROSA exposure is a strong advantage.
- Solid understanding of AWS cloud services, networking, IAM, and security best practices.
- Strong scripting skills in Python, Bash, Go, or Ruby.
- Good working knowledge of Linux systems, container runtimes, and distributed systems.
- Familiarity with CI/CD tools and GitOps-based workflows.
- Good to Have
- Exposure to ML frameworks, GPU-based workloads, and large-scale ML operations.
- Understanding of model lifecycle management, feature stores, and ML pipelines.
- Knowledge of security, compliance, and platform hardening in Kubernetes/OpenShift environments.
- Soft Skills
- Strong analytical and problem-solving abilities.
- Clear communication and documentation skills.
- Ability to work in cross-functional teams and fast-paced environments.
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Job application FAQ
Last updated 1 November 2026
- How do I apply for ML Ops Engineer at Futops Technologies India Pvt. Ltd?
- 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. Futops Technologies India Pvt. Ltd may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Ops Engineer 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 Engineer remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this ML Ops Engineer role at Futops Technologies India Pvt. Ltd?
- This is a mid-level ML Ops Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.