3774925-Senior Manager

Roles and Responsibilities:Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloudCommunicate effectively with clients on brainstorming the solutionsConduct research and development majorly on AI/ML implementationsImplement RAG architecture for confidential data use caseApply deep learning techniques and machine learning experienceFine tune LLM for optimal performanceDevelop and implement generative AI models using state-of-the-art techniques and frameworksCollaborate with cross-functional teams to understand project requirements and design solutions that address business needsResearch and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilitiesTrain, evaluate, and fine-tune generative models using large datasets to achieve desired outcomesOptimize model inference and deployment pipelines for efficiency and scalability in production environmentsStay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the teamParticipate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaborationGood to have - experience in healthcare and life sciences to relevant projectsLeverage MLOps and LLMOps experience to optimize operationsAct as a hands-on leader with GenAI and Machine Learning experienceQualifications:Bachelor's or Master's degree in Computer Science, Engineering, or related field7+ years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloudStrong programming skills in languages such as Python, with experience in data scienceProficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architecturesGood understanding of machine learning concepts, algorithms, and methodologiesExperience with data preprocessing, model training, and evaluation using large-scale datasetsExcellent problem-solving skills and the ability to work independently as well as part of a teamStrong communication skills and the ability to convey complex technical concepts to non-technical stakeholdersExperience in healthcare and life sciences is a plusFamiliarity with MLOps, AiOps, and llmops is beneficialGood to have certifications in AI/ML or related fields About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.