Sr. ML Ops Platform Engineer
4 days 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+ YearsDomain: AI / ML Infrastructure & AutomationAbout the CompanyWe’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team.About the RoleYou’ll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure.ResponsibilitiesBuild 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.QualificationsBachelor’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 systemsPrior experience in AI-first companies or open-source ML contributions is a plusRequired Skills7+ 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 CodePipelineExperience 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
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AI ML Ops Engineers
3 weeks ago
New Delhi, India Amazure Technologies Pvt Ltd Full timeDetailed JD (Roles and Responsibilities)Bachelor’s or Master’sdegree in computer science, Data Science, or a related field.3+ years of experiencein AI/ML engineering, preferably in IT operations or DevOps environments.Strong programmingskills in PythonExperience withimplementing GenAi and AI Python SDKsExperience withtime-series analysis, anomaly...
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ML Ops Engineer
3 weeks ago
New Delhi, India Mastech Digital Full timePosition Title: ML Ops Engineer 4Complete onsite.Full-Time roleShift Timings: 10-7 pm /11-8 pm /12-9 pmAddress: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.Job Description:Roles & Responsibilities:- Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model...
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ML Ops Engineer
1 week ago
New Delhi, India SatSure Full timeWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at...
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ML Ops Engineer
2 weeks ago
New Delhi, India SatSure Full timeWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure:SatSure is a deep tech, decision Intelligence company that works primarily at...
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ML Ops
2 days ago
Delhi, India 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;...
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ML Ops
4 days ago
Delhi, India 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...
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ML Ops Engineer
3 weeks ago
New Delhi, India Aurigo Software Technologies Full timeRole Brief: We are seeking a skilledML Ops Engineerto design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on...
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ML Engineer/ML ops
3 weeks ago
New Delhi, India Tiger Analytics Full timeSenior ML Engineer (ML Ops)Chennai / Bangalore / HyderabadWho we areTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of...
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Sr. AI ML Engineer
2 days ago
New Delhi, India LatentBridge Full timeJob Summary:LatentBridge is looking for an experiencedData Scientist Leadto spearhead AI/ML initiatives across our teams in Bhopal, Pune, and Bangalore. The ideal candidate will bring deep expertise in Python programming, machine learning, NLP, and cloud technologies. If you're excited about working on advanced AI models, large language models, and scalable...
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Sr. AI ML Engineer
2 days ago
New Delhi, India LatentBridge Full timeJob Summary:LatentBridge is looking for an experiencedData Scientist Leadto spearhead AI/ML initiatives across our teams in Bhopal, Pune, and Bangalore. The ideal candidate will bring deep expertise in Python programming, machine learning, NLP, and cloud technologies. If you're excited about working on advanced AI models, large language models, and scalable...
