Data Science AI/ML Lead | Fulltime | Bangalore/Remote
Title: Data Science AI/ML Lead
Location: Bangalore/remote
Type: Full-time
Salary: 40-50LPA
Notice Period: Candidates who can join within 30 days preferred
Requirements
What You'll Do
✅ Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions
✅ Build AI Agents, intelligent automation workflows, and LLM integrations
✅ Drive MLOps, CI/CD, and ML infrastructure best practices
✅ Design and optimize scalable AWS-based data pipelines and analytics platforms
✅ Develop production-grade APIs and model-serving solutions
✅ Integrate enterprise systems such as SAP and Salesforce
✅ Mentor engineering teams and provide technical leadership
Required Skills
🔹 Expert Python Programming
🔹 PyTorch, TensorFlow, Scikit-Learn
🔹 AI Agents, LLMs & MCP Server Integration
🔹 AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM)
🔹 Docker, CI/CD, MLOps
🔹 REST API Design & Production ML Deployments
Benefits
If Interested please send your updated resume to:rehana.j@two95intl.comand include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest.
Skills
As published by workable · 13 questions
Basics
First name, Last name, Email, Headline, Phone, Resume
Short answers (12)
- Expert in Python with a track record of writing clean, well-tested, production-grade code
- Strong, hands-on experience with PyTorch, TensorFlow, and scikit-learn
- Deep understanding of model training, evaluation, inference, and optimization for efficient ML at scale
- Proven experience building AI agents and automated workflows; proficient with Amazon Quick
- Experience building and integrating Model Context Protocol (MCP) servers to connect LLMs and AI agents with external tools, data sources, and services
- Strong experience designing REST APIs and deploying/serving ML models in production
- Solid experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker)
- Proficient with Git, CI/CD pipelines, and ML infrastructure best practices
- Data Science Background, tweek/train AI model –
- Build automation and adapt to new tools that are available in the market
- Lead
- Architect
Pick from a list (1)
- Healthcare Domain –