MLOPS Engineer

Position : MLOps Engineer Experience : 7 Years Job Type : Full-time Job Summary : We are seeking an experienced MLOps Engineer with 7 years of professional experience in DevOps, MLOps, or infrastructure engineering. The ideal candidate will have at least 4 years of specialized experience in AI/ML environments. This role is crucial for...

Role: MLOps EngineerLocation: BhubaneswarKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment pipeline, Inference pipeline, Monitoring pipeline,...

Senior MLOps EngineerAs a Senior MLOps engineer, together with Pattern's Data Science and Engineering teams, you will create and maintain impactful solutions for our brands across the world. From traditional machine learning to cutting-edge AI, you will work and lead throughout the model lifecycle.Responsibilities:Teamwork: MLOps is a team sport, and we...

Job DescriptionAbout Springer Nature Group Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to...

Job Description:Design, develop, and maintain end-to-end MLOps pipelines for training, testing, and deploying ML models at scale.Implement and optimize CI/CD workflows using GitHub Actions for ML model integration and delivery.Work extensively on Databricks for model training, orchestration, and deployment.Automate data ingestion, feature engineering,...

DescriptionWe are looking for a skilled DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have hands-on experience in AWS Cloud, scripting, and automation, along with proven skills in deploying and managing machine learning pipelines in production.Key ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML...

Description : - Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). - Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and...

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure...

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.  Pattern accelerates brands on global ecommerce marketplaces leveraging...