Requirements Primary Roles & Responsibilities • Design, develop, and deploy AI/ML products and services based on the customer needs. • Design data pipelines • Continually develops capability both against current demand and the technology/business capability roadmaps provided. • Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. • Continually improve technologies used by the team to deliver products and services to our customers. • Implement all application requirements, including functional, security, integration, performance, quality, and operations requirements. • Work closely with the Product Owners and Architects to develop data science products and data pipelines in Modern Data Platforms • Work closely with the Team and provide guidance and assistance on technical issues • Knowledge of handling unstructured, semi-structured and structured data Required Skills • 3+ years of data scientist experience • Bachelor's or master's degree in data science or Applied Statistics or AI/ML or Relevant Specialization • Cloud data engineering and Big Data services knowledge in Azure, AWS, or GCP • Proficiency in Python and SQL. • Proficiency in data analysis, building, and deploying models into production environments. • Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures • Familiarity with existing ML stack (scikit-learn, Tensor flow, Keras and others) • Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments (Snowflake, AWS, Azure, or GCP). • Fine-tuning models to improve accuracy rates. • Interpersonal and verbal communication skills • Desire to work in a performance-based environment.