Sr. ML Ops Platform Engineer
2 hours ago
We’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients)
Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune)
Experience: 7+ Years
Domain: AI / ML Infrastructure & Automation
About the Company
We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team.
About the Role
You’ll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure.
Responsibilities
- Build and maintain systems using DevOps & LLM Ops tools (Kubernetes, Docker, Terraform, AWS, Python).
- Architect and implement AWS-based scalable infrastructure (Lambda, EC2, Docker, Networking, Monitoring, etc.).
- Design and automate Data & ML pipelines with CI/CD and deployment best practices.
- Implement observability solutions using Prometheus, Loki, Grafana, or Datadog.
- Conduct POCs for new solutions and continuously improve existing architectures.
- Collaborate with Product, Data, and Executive teams to address infrastructure and data challenges.
- Drive code reviews and mentor junior engineers.
Qualifications
- Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 5–7+ years of experience in AI/ML development or production-level MLOps systems
- Prior experience in AI-first companies or open-source ML contributions is a plus
Required Skills
- 7+ years of experience in Software / DevOps Engineering with strong Python, SQL, and Pandas skill.
- Hands-on experience with AWS (Lambda, EC2, EMR, S3, Glue, Athena, RDS, IAM, Batch, Sagemaker, Airflow)
- Expertise in Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, or CodePipeline
- Experience in CI/CD pipelines and working with API.
- Familiarity with Relational & NoSQL databases (Snowflake preferred)
- Exposure to Kubeflow or MLflow is an added advantage.
Note: Looking for Immediate Joiners only
-
ML Ops
2 hours ago
india, IN EXL Full timePrior ~2+ years of experience working with ML Ops & DSResponsibilities & Skills:Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools.Containerize and orchestrate workloads with Docker & Kubernetes;...
-
Senior AI/ML Engineer
2 hours ago
Gurugram, Haryana, India, IN NextDimension AI Full timeCompensation: INR 12-30 LPA Base + Bonus + EquityLocation: GurgaonAbout UsNextDimension is a US-based technology startup building AI Agents in Healthcare, established by a team of distinguished AI/ML Scientists and Engineers from Google, Amazon, and Snowflake. We're empowering Enterprises by building sophisticated, high-impact AI agents that automate sales,...
-
Agentic & AI Tech Ops Engineer
2 hours ago
india, IN Insight Global Full timeAgentic & AI Tech Ops EngineerLocation: AI Center of ExcellenceRole Overview:We seek a proactive Agentic & AI Tech Ops Engineer to ensure reliability, scalability, and efficiency of AI and Agentic AI systems in production. You will manage deployments, monitor performance, troubleshoot issues, and implement best practices for Tech Ops/MLOps/LLMOps.Key...
-
Senior AI/ML Software Engineer
2 hours ago
Gurugram, Haryana, India, IN NextDimension AI Full timeCompensation: INR 12-30 LPA Base + Bonus + EquityLocation: GurgaonNextDimension is a US-based technology startup building AI Agents in Healthcare, established by a team of distinguished AI/ML Scientists and Engineers from Google, Amazon, and Snowflake. We're empowering Enterprises by building sophisticated, high-impact AI agents that automate sales,...
-
AI and ML Manager
2 hours ago
Gurugram, Haryana, India, IN Advanced AI research and product company Full timeAbout the Company: Our client is an advanced AI research and product company focused on building intelligent systems that combine deep reasoning, natural language understanding, and adaptive learning. Its mission is to develop technologies that can seamlessly assist individuals and enterprises in decision-making, creativity, and automation.The company...
-
Sr. Platform Engineer
2 hours ago
Bangalore Urban, Karnataka, India, IN CME Group Full timeJoin our Technology (DevOps) team as a Sr. Platform Engineer. In this critical role, you'll leverage your expertise in CI/CD, container orchestration (Kubernetes), and infrastructure-as-code to engineer the next generation of scalable, secure, and resilient platforms that power global markets.What You’ll GetA supportive environment fostering career...
-
Sr. Information Security Ops
2 hours ago
Gurugram, Haryana, India, IN Airtel Digital Full timeWe are seeking a highly skilled Technical Subject Matter Expert (SME) – Cyber Security to lead advanced security operations, drive innovation, and strengthen our cyber defense posture. The ideal candidate will possess deep technical expertise, strong analytical capabilities, and hands-on experience across SOC, IR, SIEM, and automation practices.Key...
-
MLOps Engineer
2 hours ago
Gurugram, Haryana, India, IN Nagarro Full timeRole: MLOps Engineer Required Experience: 3 - 5 years Job Location: : GurugramJob Description: Must Have Skills: Cloud development (Capable),ML Ops - MLEKey Responsibilities:Collaborating with data scientists to understand model requirements, gather data, and refine models.Responsible for the lifecycle of models, once deployed in production environments,...
-
Sr Lead Data Analyst
2 hours ago
Gurugram, Haryana, India, IN Airtel Digital Full timeAirtel is a leading telecom provider with over 400 million subscribers. As a data-driven organization, we process 2 trillion events daily and store 100 PB of data, enabling smarter business decisions. With growing data demands and evolving use cases, we need faster, scalable decision-making powered by analytics and AI.About the role:As a Sr .Lead Data...
-
Senior Manager AI/ML
2 hours ago
Gurugram, Haryana, India, IN VAYUZ Technologies Full timeYour experience should include10+ years’ validated experience in AI/ML leadership roles as a people manager, in an agile Technology/SaaS business, with a portfolio of large-scale AI/ML solutions, deployed globallyConfirmed expertise in Agentic AI, autonomous systems, or multi-agent architectures in real-world applications. Designing, integrating, and...