GenAI Data Scientist

Data Scientist - GenAI

Working 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 improvement
• Communicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness
• Performs 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.
• 5 years or more of experience in designing and developing complex ML applications in Python
• ML 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, Tensor Flow, PyTorch, or similar
• Experience with deep learning architectures and techniques
• In-depth understanding of Dev Ops and MLOps

GenAI:

• Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspects
• Work with RAG, vector stores, and semantic search
• Experience with multimodal models
• Strong understanding to building validation/Quality frameworks in GenAI Inference
• LLM Model fine tuning and deployment
• Optimization of GPU's

Desired

Skills:

• AI/ML certifications in AWS / AZURE / GenAI

Soft

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.