MLOps Engineer — AWS SageMaker

MLOps Engineer — AWS SageMaker Client: A large global enterprise (name not disclosed) Location: India Work Model: 100% Remote Contract: 6 months (initial) with possibility of extension Start Date: ASAP Engagement: Full-time / Long-term contract Role Overview You will work within a global data & analytics team to design, deploy, and maintain robust ML...

MLOps Engineer — AWS SageMakerClient: A large global enterprise (name not disclosed)Location: IndiaWork Model: 100% RemoteContract: 6 months (initial) with possibility of extensionStart Date: ASAPEngagement: Full-time / Long-term contractRole OverviewYou will work within a global data & analytics team to design, deploy, and maintain robust ML pipelines...

Role: AWS & SageMaker MLOps Expert Location: Pune (Onsite) Job type: Contract/Full time Experience Level: 5+ years in DevOps/MLOps/Cloud Engineering with 3+ years specifically on AWS SageMaker and proven track record of production ML deployments at scale Certifications (Bonus): AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect...

Senior AI Engineer / SageMaker AdministratorLocation: Bangalore / Pune / Mysore / HyderabadIndustry: BankingExperience: 8+ years (3+ years relevant in AI Engineering / AWS / SageMaker)Work Mode: HybridInterview Mode: Face-to-FaceShift Timing: 10:30 AM – 8:00 PMAbout the Role We are looking for a highly skilled Senior AI Engineer / SageMaker Administrator...

Job Title: MLOps Engineer Experience: Minimum 3 Years Location: Chennai Employment Type: Full-time About the Role: We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team. This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep...

Role Description This is a hands-on engineering role focused on building and maintaining AI and ML services on AWS. You will help turn ideas and prototypes into robust, production-ready APIs and ML flows using Amazon Bedrock, Amazon SageMaker, Python, and FastAPI. Please note that the working hours for this job would be  5PM to 2AM IST . Build and maintain...

Role Description This is a hands-on engineering role focused on building and maintaining AI and ML services on AWS. You will help turn ideas and prototypes into robust, production-ready APIs and ML flows using Amazon Bedrock, Amazon SageMaker, Python, and FastAPI. Please note that the working hours for this job would be 5PM to 2AM IST . Build and maintain...

Unlocking the Power of Machine Learning OperationsWe are seeking a highly skilled Senior MLOps Engineer to join our team. This role involves deploying machine learning (ML) models at scale, utilizing cloud-based infrastructure and containerization.Key Responsibilities:Design and implement efficient ML deployment pipelines using AWS services such as Lambda,...

Must Have: - Strong proficiency in Python and Rest APIs - Hands-on experience with AWS Bedrock (foundation models, prompt engineering, managed inference) - Practical expertise in Amazon SageMaker (training, tuning, monitoring, JumpStart) - Experience with commercial LLMs (eg. OpenAI GPT, Claude, Google Gemma) and open-source LLMs (eg. Llama, Qwen) - Good...

Position: Cloud – MLOps Engineer Location: Bangalore (Work from Office) Notice Period: Not more than 30 days SummaryWe are seeking a highly skilled Cloud – MLOps Engineer to design, implement, and manage scalable cloud -based machine learning infrastructure on AWS. The ideal candidate will have strong expertise in AWS cloud architecture, MLOps pipeline...