Data Science AI/ML Lead
- Role
- AI / ML
- Experience
- Lead
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Lead AI/ML solution architecture, development, and deployment. Build AI Agents, LLM integrations, and MLOps. Design scalable AWS data pipelines and production APIs. Mentor engineering teams.
Core skills
Required skills
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.com and 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.
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
What they require
- Candidates who can join within 30 days preferred