Job Description:
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:

Actual job title would be a Data scientist - GenAI you will 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.

Techinical 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 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, TensorFlow, PyTorch, or similar
Experience with deep learning architectures and techniques
In-depth understanding of DevOps 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 GPUs

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.
Ability to work under pressure and within time constraints
Passion for technology and an eagerness to contribute to a team-oriented environment
Education & Experience Required:

Aleast 10 years of experience with Master's degree or PhD in Computer Science, Statistics, Mathematics, Data Science or other closely related field