ML Ops Engineer

Detailed 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...

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...

Position 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...

Senior ML Engineer (ML Ops) Chennai / Bangalore / HyderabadWho we are Tiger 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...

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...

Role: Lead Software Engineer : ML Ops & System EngineeringAbout Us:AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It...

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...

Role: Lead Software Engineer : ML Ops & System Engineering About Us: AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It...

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;...

Experience - 5 - 10 yrsLocations - Bangalore, Chennai, Mumbai, Pune, HyderabadKey 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...