Description

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 modelsinto production environments.

• Expertise in GenAI, LLMs, RAG, NLP, and deep learning architecture

• Familiarity with existing ML stack (scikit-learn, Tensorflow, 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.

Preferred Skills

• Knowledge of Computer Vision, and Image processing techniques

• Good to have knowledge on Snowflake Cortex, Cortex AI Features, Snowpark Container

Key Skills

Education

Bachelor's or Master's degrees