Senior Data Scientist AI Platforms

JOB DESCRIPTION

Job Title: Data Scientist / Senior Data Scientist AI Platforms

Department: Data & Analytics (DNA Team)

Reports to: Head – AI Projects

Location: Head Office, Mumbai

1. Job Purpose Statement

The role is responsible for designing, building, deploying, and maintaining scalable AI-

driven and data science solutions that power enterprise platforms. The incumbent will

focus on API-based model deployment, platform engineering using modern cloud and

DevOps practices, and AI solutions such as Voice Bots, contributing directly to advanced

analytics and automation initiatives.

2. Duties & Responsibilities

• Design, develop, and deploy data science and AI models for business use cases.
• Build and maintain production-grade APIs (REST/JSON) for model serving and

integration.

• Implement platform engineering solutions using Python, Docker, CI/CD pipelines, and

Azure cloud stack.

• Work closely with data, product, and engineering teams to integrate AI solutions.
• Contribute to Voice Bot / Conversational AI solutions including NLP and speech

workflows.

• Ensure scalability, security, and reliability of deployed models and APIs.
• Apply MLOps practices such as monitoring, versioning, and automated testing.
• Document technical designs and support ongoing enhancements.

3. Key Challenges

• Deploying and maintaining production-grade AI and ML systems.
• Managing end-to-end model lifecycle in cloud environments.
• Ensuring performance and reliability of APIs at scale.
• Integrating Voice Bots with enterprise platforms and data sources.

4. Decision Making Authority

Decisions made independently:

• Selection of algorithms, frameworks, and development approaches.
• API and deployment pipeline design within approved architecture.

Decisions made in consultation with Manager:

• Overall platform architecture changes.
• Adoption of new tools and prioritization of delivery timelines.

5. Stakeholder Interaction

Internal Stakeholders:

• Head – AI Projects
• Business Analysts
• Engineering and IT Teams
• Information Security Teams

External Stakeholders:

• Technology Vendors
• Implementation Partners

6. Organisational Relationship

Head – AI Projects

Data Scientist / Senior Data Scientist

7. Job Requirements

Professional Qualification:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or

related field.

• 3–5 years of experience in Data Science, AI, or ML engineering roles.

Knowledge:

• Python and data science libraries
• API development frameworks (FastAPI/Flask)
• Machine learning algorithms and feature engineering
• Azure cloud and deployment services
• Voice Bot / Conversational AI concepts
• MLOps and DevOps principles

Skills:

• Building and deploying scalable ML APIs
• Containerization using Docker
• CI/CD pipeline implementation
• Cloud-based AI solution deployment
• Strong analytical and communication skills

Competencies:

• Result orientation and execution excellence
• Problem-solving and analytical mindset
• Collaboration and ownership
• Continuous learning and adaptability