4.0 - 8.0 years

0 Lacs

hyderabad, telangana

On-site

Role Overview: As a GenAI Developer/Sr. GenAI Developer at Persistent Ltd., you will be a valuable addition to the growing data competency team. Your primary responsibility will be to develop and fine-tune LLMs for real-world use cases, build and optimize RAG pipelines using Langchain or similar tools, and integrate GenAI capabilities into enterprise applications. Your hands-on experience in Python coding, working with vector databases, and collaborating with cross-functional teams on AI-driven features will be essential for ensuring optimal performance, scalability, and availability of data pipelines and analytics. Key Responsibilities: - Develop and fine-tune LLMs for real-world use cases ...

Posted 1 month ago

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ML Ops + Python Ampcus Tech Pvt. Ltd

6.0 - 10.0 years

0 Lacs

hyderabad, telangana

On-site

Role Overview: As an ML/Ops Engineer with 6+ years of experience, your primary responsibility will be to analyze, design, develop, and manage data pipelines to release scalable Data Science models. You will be expected to deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable manner. Key Responsibilities: - Create and maintain scalable code to deliver AI/ML processes. - Design and implement pipelines for building and deployment of ML models. - Develop dashboards for system monitoring. - Collect metrics and establish alerts based on them. - Design and execute performance tests. - Conduct feasibility studies/analysis with a critical perspective. - Sup...

Posted 2 months ago

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Mlops Engineer EXL

4.0 - 9.0 years

4 - 9 Lacs

Noida, Uttar Pradesh, India

On-site

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 performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and autom...

Posted 3 months ago

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