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;...

Prior ~2+ years of experience working with ML Ops & DS Responsibilities & 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 &...

Detailed JD (Roles and Responsibilities)Bachelor’s or Master’s degree in computer science, Data Science, or a related field.3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments.Strong programming skills in PythonExperience with implementing GenAi and AI Python SDKsExperience with time-series...

Job Description 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...

Position Title: ML Ops Engineer 4Complete onsite.Full-Time role Shift 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...

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...

Job Responsibilities:Evaluate and source appropriate cloud infrastructure solutions for machine learning needs, ensuring cost-effectiveness and scalability based on project requirements.Automate and manage the deployment of machine learning models into production environments, ensuring version control for models and datasets using tools like Docker and...

Senior 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...

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...

Experience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey ResponsibilitiesDesign, develop, and deploy machine learning models using AWS SageMaker for various business applicationsImplement end-to-end ML pipelines from data preprocessing to model serving and monitoringBuild and maintain automated model training, validation, and...