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Tech Stack
Tools & technologiesCloudPythonPyTorchScikit-LearnSDLCTensorflow
About the role
Key responsibilities & impact- Lead the design, development, and deployment of scalable AI/ML and GenAI-powered solutions for enterprise environments
- Build and manage AI/ML pipelines for model training, inference, observability, monitoring, and automation
- Support presales engagements by translating customer business requirements into scalable AI/ML solution architectures
- Develop AI agents, intelligent workflows, and LLM-powered applications to accelerate customer outcomes
- Drive customer technology transformation initiatives while influencing AI/ML solution strategy, architecture, and delivery execution
Requirements
What you’ll need- BE/B.Tech/B.Sc. in Computer Science, Engineering, or equivalent with 8+ years of relevant industry experience
- Strong hands-on experience in Python and AI/ML development frameworks
- Experience with AI/ML ecosystems including PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex
- Deep understanding of Software Development Lifecycle (SDLC), MLOps, CI/CD pipelines, and Agile methodologies
- Experience designing and deploying AI infrastructure across cloud, GPU-accelerated, containerized, and distributed computing environments
- Experience with Generative AI, Agentic AI frameworks, and LLM-based application development
Benefits
Comp & perks- Professional development opportunities
- Technical leadership across cross-functional teams
- Mentoring junior engineers
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI/ML development frameworksPyTorchTensorFlowScikit-learnHugging FaceLangChainLlamaIndexMLOpsCI/CD pipelines
Soft Skills
leadershipcommunicationcustomer engagementinfluencingproblem-solving
Certifications
BEB.TechB.Sc.
