Skill 1 - Gen AI(GCP, AWS, Azure, Snowflake), hands on exp in cloud platform is mandatory

Hands-on experience in Data Science, AI/ML, and Deep Learning (DL) domains
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
Solid problem-solving skills.

Skill 2 - AI/ML + Python (GCP, AWS,



Azure, Snowflake), hands on exp in cloud platform is mandatory

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.
AWS Bedrock fundamentals - AWS Neo, prompt engineering
Strong Python fundamentals
REST APIs and integration patterns
Basic understanding of multi agent workflows
25 years in Python / AI / backend development
Exposure to cloud-native development preferred

📌 Gen AI engineer (Bengaluru)
🏢 LTM
📍 Bengaluru