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MLOps Engineer
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Bengaluru, India Cosette Network Pvt Ltd Full timeJob Details: Position : Senior MLOps/LLMOps Engineer Experience : 6+ YearsLocation : Bengaluru/Delhi NCRJob Responsibilities:1. Model Deployment and Management:· Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale.· Monitor real-time performance of deployed models, analyze data, and proactively address...
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MLOps Engineer
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Bengaluru, Karnataka, India Cosette Network Pvt Ltd Full timeJob Details:Position : Senior MLOps/LLMOps EngineerExperience : 6+ YearsLocation : Bengaluru/Delhi NCRJob Responsibilities:1. Model Deployment and Management:· Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale.· Monitor real-time performance of deployed models, analyze data, and proactively address...
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MLOps Architect
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Pune, Maharashtra, India Capgemini Full timeJob Description Capgemini is seeking a Director level Executive for an MLOps Architect role in the Insights and Data Business Line. Primary Skills Hands on Architect SkillsArchitect who will work hands on in MLOPS framework.5+ years in solution architecture or technical product ownership.Has lead architectural decisions and driven MLOPS platform...
Data Science-MLOPS engineer
2 weeks ago
We are seeking a DevOPS / MLOps Engineer to be the backbone of our AI tool development and deployment efforts. This role sits at the intersection of data science, engineering, and cloud infrastructure ideal for someone passionate about building scalable, automated, and production-grade AI systems.
We are seeking a DevOPS / MLOps Engineer to be the backbone of our AI tool development and deployment efforts. This role sits at the intersection of data science, engineering, and cloud infrastructure ideal for someone passionate about building scalable, automated, and production-grade AI systems.
You will collaborate with data scientists, business stakeholders, and cloud engineers to transform prototypes into reliable, high-performance applications. Your work will power predictive analytics, GenAI solutions, and interactive dashboards used by our business leaders.
You will collaborate with data scientists, business stakeholders, and cloud engineers to transform prototypes into reliable, high-performance applications. Your work will power predictive analytics, GenAI solutions, and interactive dashboards used by our business leaders.
Key Responsibilities
Work with data scientists to turn ML and GenAI experiments into scalable production pipelines/ MLOPS.
Work with data scientists to turn ML and GenAI experiments into scalable production pipelines/ MLOPS.
Build and maintain shared code repositories and reusable components.
Build and maintain shared code repositories and reusable components.
Design CI/CD pipelines in AWS / Azure MLOPS to deploy models, APIs, and GenAI tools.
Design CI/CD pipelines in AWS / Azure MLOPS to deploy models, APIs, and GenAI tools.
Strong experience in Data Pipeline / DataOps.
Strong experience in Data Pipeline / DataOps.
Containerize applications using Docker and deploy them using cloud-native services.
Containerize applications using Docker and deploy them using cloud-native services.
Automate infrastructure setup using Terraform and manage schemas in Azure and Snowflake.
Automate infrastructure setup using Terraform and manage schemas in Azure and Snowflake.
Deploy and manage GenAI apps such as chatbots, RAG systems, and predictive tools.
Deploy and manage GenAI apps such as chatbots, RAG systems, and predictive tools.
Monitor & Observality & Explainability will add Value.
Monitor & Observality & Explainability will add Value.
Set up alerts, rollback plans, and observability tools to ensure stability.
Set up alerts, rollback plans, and observability tools to ensure stability.
Take part in code reviews and suggest workflow improvements.
