Job Title: Data Scientist / Senior Data Scientist AI Platforms

Department: Data & Analytics (DNA Team)

Reports to: Head – AI Projects

Location: Head Office, Mumbai

- 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.

- 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

- Job Requirements

Qualified 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

📌 Senior Data Scientist AI Platforms (Mumbai)
🏢 Skyleaf Consultants
📍 Mumbai