Generative AI Engineer

3 weeks ago


India Live Connections Full time

Role - Generative AI Engineer Experience - 10 to 18 years Work Location - Remote Required Notice Period - Immediate Joiners or Serving Notice or 30 days Must Have - Bachelor’s in CS/ML/AI or related field; Master’s or PhD preferred. - 5+ years of experience in ML/Data Science with a focus on generative AI, LLMs, or computer vision. - Expertise in large-scale Transformer-based models (GPT, VLMs). - Experience working with multimodal datasets (text, images, 3D). - Strong proficiency in Python and libraries like PyTorch, TensorFlow, NumPy, and pandas. - Solid foundation in probability, statistics, and optimisation. - Hands-on experience deploying ML models using cloud microservices (AWS). - Strong software engineering background — OOP, testing, version control, CI/CD, and IaC (Terraform). - Excellent communication and stakeholder management skills. Responsibilities - Technical Leadership: Define the AI vision and technical direction; establish best practices for the Generative AI team. - Strategy & Roadmap: Shape and execute the AI strategy, identifying high-impact use cases. - Model Development: Design, build, and deploy advanced generative and large language models (LLMs) for multimodal document and data processing. - Multimodal Innovation: Integrate text, image, and 3D data for intelligent, automated solutions. - Scalable Engineering: Build and maintain large-scale data pipelines and model training workflows. - Cloud Deployment: Train, optimize, and deploy AI models using AWS and modern MLOps practices. - Collaboration: Partner with engineering, product, and business teams to embed AI into real-world products and workflows. - Mentorship: Guide and upskill team members on ML architecture and best practices. - Research: Stay current with the latest generative AI, deep learning, and multimodal model research. To apply, connect with Abhishek via abhishek.m@livecjobs.com or WhatsApp on 9154908075



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