Position: Senior Data Scientist

Work Location: Hyderabad

Work Mode: Mon-Fri (Work from Office)

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, 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

Sr. Data Scientist with Snowflake experience

Job Description & Responsibilities