AI/ML with Python, Data Science

Skill 1 - Generative AI, Agentic AI, RAG, Prompt Eng, Python, LLM

Exp - only 5+ years will be considered

Practical exposure to Generative AI (GenAI) and DL frameworks
Strong programming skills in Python and experience with Linux/Windows environments
Proficiency with common data science toolkits: TensorFlow, Keras, PyTorch, Pandas, NumPy, etc.
Familiarity with GenAI frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, NeMo Agent Toolkit, NAT
Knowledge of DL & GenAI algorithms: Transformers, CNN, RNN, etc.
Experience with NLP, Large Language Models (LLMs), and Multimodal Language Models like: GPT, LLaMa, Mistral, Qwen, Nemotron, etc.
Hands-on experience with Cloud platforms: Azure, AWS, or GCP
Familiarity with Git, Docker, and Kubernetes
Strong problem-solving skills.

Skill - 2 - AI/ML, Python

Exp - only 5+ years will be considered

Develop AI features using AWS Bedrock.
Implement Python-based services and utilities.
Build prompt flows and agent tools.
Integrate AI services with upstream/downstream systems.
Write clean, testable, and reusable code.
Support unit testing and bug fixes.
Participate in code reviews and sprint deliveries.
Cloud platforms: AWS Bedrock fundamentals AWS Neo, prompt engineering
Strong Python fundamentals
REST APIs and integration patterns
Basic understanding of multi agent workflows
2.5 years in Python / AI / backend development
Exposure to cloud-native development preferred