5.0 - 10.0 years

8 - 12 Lacs

chennai

Work from Office

Job Brief We're seeking a visionary Senior AI Engineer / Architect to join our exclusive AI Innovation Team within Digital Engineering. As a key member of this elite group, you'll spearhead groundbreaking AI initiatives that have the potential to revolutionize the digital landscape. Your role will be pivotal in designing, implementing, and overseeing cutting-edge AI solutions that not only drive our business forward but also shape the future of digital technology. This is a unique opportunity to work on innovation initiatives that could redefine industry standards and create lasting impact. Key Responsibilities Architect and design scalable, efficient AI systems and infrastructure Mentor and...

Posted 1 month ago

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MLE - Lead - (Production & MLOps Focus) NTT Data

8.0 - 10.0 years

0 Lacs

chennai, tamil nadu, india

Remote

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Lead - (Production & MLOps Focus) to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Title: Lead - Machine Learning Engineer - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are UPS. We are the United Problem Solver...

Posted 2 months ago

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Software Developer - Corporate Mobile Service Plan IBM

0.0 - 5.0 years

0 - 5 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

Your Role and Responsibilities Deliver AI agents and automated solutions to remove repetitive work performed by the tribe supporting the Corporate Mobile Service Plan (CMSP). Partner with CMSP team members across countries to discover and prioritize CMSP processes and procedures for automation, leveraging vast amounts of data and delivering on Watsonx. Build the required data models and leverage Watson Orchestrate and Watson Assistant to simplify processes and eliminate tedious tasks. Use both readily available data (e.g., CMSP dashboard, eAMT, Mobile@IBM, IBM Publisher) and other sources to drive faster decision-making and increased end-user self-service. Innovate, simplify, and automate pr...

Posted 6 months ago

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