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 Cortex AI, 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.