GenAI Solution Engineer

6 days ago

New Delhi, India Tata Consultancy Services Full time

Greetings from Tata Consultancy ServicesWe are hiring for GenAI Solution Engineer Required Skillset:AI/ML, Gen AI Models (GPT, LLMs, diffusion models), Python and ML frameworks (TensorFlow, PyTorch, Huggingface). Experience :7+ years Location : PAN INDIAJob Description:3+ years of hands-on experience with AI/ML, including generative AI models (GPT, LLMs, diffusion models), OSM models, CVRT, Huggingface, and custom model development. Experience designing machine learning pipelines with Dataiku and enterprise platforms. Proficient in Python and ML frameworks (TensorFlow, PyTorch, Huggingface). Experience managing code libraries/environments, collaborative data platforms, and MLOps pipelines. Experience developing APIs for complex, regulated data workflows. Previous experience in life sciences or healthcare is highly desirable. Experience with cloud platforms (AWS, Azure, GCP). Experience with privacy, security, and regulatory frameworks for AI in healthcare. Familiarity with FAIR data principles, responsible AI/ML practices. Strong communication, project management, and collaboration skills. Ability to handle multiple projects and deliverables in a fast-paced setting. Practical experience with Dataiku Academy, Flows, Scenarios, Code Library, Code Environments, and API Designer GPU Usage: Experience with GPU usage in compute clusters and CUDA (if applicable).Role and Responsibilities:As an AI/GenAI Solutions Lead, you will drive the identification, development, and deployment of generative AI solutions to solve complex business and scientific challenges across AbbVie. You will lead initiatives leveraging Dataiku Academy knowledge, orchestrate flows and scenarios, and design API-driven solutions for regulated complaint handling for AbbVie products:-Architect and implement solutions leveraging Dataiku Academy expertise and platform features: Flows, Scenarios, Code Library, Code Environments, and API Designer. Use state-of-the-art techniques including large language models, generative AI platforms, OSM models, CVRT, Huggingface Transformers, and develop custom AI models. Implement and manage workflows using Dataiku features: Flows, Scenarios, Code Library, Code Environments, and API Designer. Orchestrate machine learning pipelines such as the OneTrack API for automated drug complaint classification using LangGraph architectures. Develop and maintain secure API endpoints using OAuth/internal Bearer token authentication. Collaborate with researchers, scientists, and stakeholders to understand and translate requirements into technical specifications. Ensure compliance with regulatory, security, and privacy requirements. Integrate FAIR data principles and responsible AI practices. Documentation: They maintain clear and accurate documentation of system configurations, procedures, and troubleshooting steps. Monitoring and Maintenance: They monitor system health, perform maintenance tasks, and plan for upgrades and new technologies. Security: They ensure the secure and effective operation of systems. Communicate results, opportunities, and risks to both technical and non-technical audiencesThanks & Regards, Ria Aarthi A

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