Data Scientist - GenAIWorking in Emerging Technology team to explore the Generative AI Models and integrate them with traditional AI/ML workloads. Build the AI solution prototypes from ground up to accelerate the adoption. Evaluate various AI/ML /LLM models and map to valid use cases.
Optimize the Inference / ML ops from cost and performance point of view. This role will be part of the emerging technology team to construct the ML patterns/ reference patterns for digital platform.Responsibilities:Lead all stages of AI development including refining product vision, gathering requirements, project planning, software system design, coding, testing, release, deployment and support analytical solutions.Maintains high standards of software quality by establishing good practices and habits Identifies and encourage areas for growth and improvementCommunicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completenessPerforms integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.Technical Skills Required:5 years Production grade AI/ML Enterprise experience required.PROFESSIONAL EXPERIENCE REQUIRED (not educational projects) 5 years or more of experience in designing and developing complex ML applications in PythonML architectural patterns to deploy in Cloud (AWS/ Azure / Snowflake)Proven skills in ML Ops / Inference Optimization / ML in Container deployment.Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration.Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similarExperience with deep learning architectures and techniquesIn-depth understanding of DevOps and MLOpsGenAI:Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspectsWork with RAG, vector stores, and semantic searchExperience with multimodal modelsStrong understanding to building validation/Quality frameworks in GenAI InferenceLLM Model fine tuning and deploymentOptimization of GPU'sDesired Skills:AI/ML certifications in AWS / AZURE / GenAISoft Skills Required:Demonstrated leadership on medium to large-scale projects impacting strategic priorities.Ability to cope with shifting priorities, demands and timelines through analytical and problem-solving skills.Ability to effectively prioritize, delegate responsibilities and execute tasks in a high-pressure environment.