Role OverviewWe are looking for a talented GenAI / ML Engineer for our client to help build, fine-tune, and deploy next-generation AI systems. The selected candidate will work across LLMs, RAG pipelines, applied NLP, and scalable model deployment, collaborating closely with product and engineering teams.ResponsibilitiesTechnical Vision & LeadershipDefine technical direction for the Generative AI function and establish best practices.Drive innovation and experimentation across GenAI and multimodal solutions.AI Strategy & RoadmapShape the AI roadmap and identify high-impact business use cases for generative AI.Model DevelopmentDevelop and deploy large language and generative models for:Multimodal document understandingStructured data extractionLarge-scale automation workflowsMultimodal InnovationWork on models across text, images, and 3D data to solve complex real-world challenges.Scalable EngineeringBuild data pipelines and training frameworks for large-scale data and model workloads.Cloud-based DeploymentTrain, optimize, and deploy GenAI models using AWS and cloud-native microservices.Cross-Functional CollaborationWork closely with engineering, product, and business teams to convert AI into real products.Mentorship & Team GrowthCoach team members on advanced ML techniques, model architecture, and engineering excellence.Research & ExplorationStay current with advances in GenAI, foundation models, and deep learning bringing new ideas into production.Qualifications10 - 12 years of total industry experience, including 5+ years focused on ML / AIDeep expertise in LLMs, Generative Models, and/or Vision TransformersExperience with multimodal AI (text, images, 3D data preferred)Hands-on working knowledge of:PythonPyTorch / TensorFlowPandas, NumPy Strong foundation in probability, statistics, and optimizationExperience deploying ML systems on cloud microservice architectures (AWS preferred)Strong software engineering skills:Object-oriented programmingCI/CD & testingVersion controlInfrastructure-as-Code (Terraform preferred)Excellent communication skills and ability to work with cross-functional teamsExperience in supply chain / manufacturing / enterprise systems is a plus (not mandatory)Passion for innovation and solving complex business problems using AIGood to HaveExperience with distributed training & GPU environmentExposure to model optimization & quantizationContributions to open-source or ML research projectsPublications, Kaggle profile, or strong GitHub portfolioWho We Are Looking ForProactive, innovative problem-solverStrong communication & collaboration skillsPassion for building real-world AI productsRole: Machine Learning Engineer,Industry Type: IT Services & Consulting,Department: Data Science & Analytics,Employment Type: Full Time, PermanentRole Category: Data Science & Machine LearningEducationUG: Any GraduatePG: Any PostgraduateDoctorate: Any Doctorate