You will have the opportunity to work on cutting-edge GenAI products and contribute to our mission of revolutionizing enterprise value creation through GenAI. You will collaborate with a talented team of professionals who are passionate about their work, and you will be part of a company that is committed to empowering marginalized communities and bridging gaps in education.In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:Professional development opportunities, including training and mentorship programsFlexible work arrangements, including remote work optionsAccess to the latest technologies and toolsRegular social events and team-building activitiesA supportive and inclusive work environmentIf you are ready to join a team that is changing the game, apply now to become a part of the family.Join us on this adventure and help shape the future of Generative AI in the enterprise.Responsibilities:Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics.Years of Experience - 3+ for Senior, 5+ for Staff, 8+ for Senior Staff.Strong expertise in Deep Learning, Machine Learning and Generative AI (including Language, Vision, Audio and Multi-modal models).Experience in developing models and algorithms using Deep Learning frameworks like PyTorch & TensorFlow, compute and memory optimizations using Deep Speed, PyTorch DDP architectures for both training and inferencing Large Language Models.Experience in deploying deep learning models on multiple GPUs.Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory.Strong programming skills in one or more of the following languages - Python, Go.Experience in building applications with Docker and Kubernetes.Working knowledge of at least one cloud platforms and its services (AWS, Azure, GCP).Strong verbal and written communication skills.Required Qualifications:Masters Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics.Deep expertise and experience in training/fine-tuning large language models on large GPU clusters.Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow.Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes.Experience using frameworks like Text Generation Inference, vLLM, Llama_CPP for model inference.Experience in training and/or fine-tuning models in a multi-node, multi-accelerator cluster.Experience in monitoring, managing, and troubleshooting Kubernetes clusters.Working experience with Relational and Graph Databases.Strong working experience with at least two cloud service providers (AWS, Azure, GCP).Working knowledge of CI/CD pipelines, Orchestration Frameworks & MLOps.Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering.Ability to transform business needs to technical requirements, define tasks, metrics and milestones.Ability to communicate technological challenges and achievements to various stakeholders.Benefits:Medical insurance (SulAmérica) - adding dependents will incur an additional charge;Meal Voucher credited at Flash Card;Life Insurance.We will be happy to look at your application!Subscribe to our networks and follow the world of TalentX.Digital:LinkedIn: Click here!Instagram: Click here!
#J-18808-Ljbffr
