ML Ops

Prior ~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;...

Role Brief: We are seeking a skilled ML Ops Engineer to 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...

We 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...

We 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...

We 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...

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...

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....

Experience - 5 - 10 yrs Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad Key Responsibilities Design, develop, and deploy machine learning models using AWS SageMaker for various business applications Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring Build and maintain automated model training, validation, and...

Experience - 5 - 10 yrs Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad Key Responsibilities Design, develop, and deploy machine learning models using AWS SageMaker for various business applications Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring Build and maintain automated model training, validation, and...

**Responsibilities**: - Implement and optimize continuous integration/continuous deployment (CI/CD) pipelines for machine learning models - Collaborate with DevOps and IT teams to integrate machine learning workflows with existing systems and infrastructure - Develop the engineering architecture and data pipelines needed to enable large-scale machine...