Junior Cloud Automation Engineer

Machine Learning & Data Science

• Design, build, and deploy ML models using: XGBoost, LightGBM, Scikit-learn
• Perform: Model training, validation, and optimization
• Translate business problems into data-driven solutions

Generative AI & Agentic AI

• Design and implement: LLM-based applications AI agents and workflows
• Work with frameworks like: LangChain / LangGraph / CrewAI / AutoGen
• Enable: Tool calling Task automation Multi-agent orchestration

RAG & Knowledge Systems

• Build Retrieval-Augmented Generation (RAG) pipelines
• Work with: Vector databases Embeddings
• Develop knowledge-based AI systems

Model Deployment & MLOps

• Deploy models into production environments
• Implement: CI/CD pipelines MLflow / model monitoring
• Ensure: Model performance Scalability Reliability

Cloud & Data Engineering

• Work on cloud platforms: AWS / Google Cloud Platform
• Build scalable data pipelines and ML workflows

Monitoring & Optimization

• Monitor: Model performance Data drift
• Continuously improve models and pipelines

Security & Compliance

• Ensure: Data security Compliance standards
• Implement governance for AI systems

Collaboration & Communication

• Engage with: Business stakeholders Engineering teams
• Translate business requirements into AI solutions
• Communicate model insights clearly

Do you have experience in XGBoost?, Senior GenAI Data Scientist / AI Engineer (LLM, RAG, Agentic AI) Job Summary We are seeking a highly skilled GenAI Data Scientist / AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI systems . The ideal candidate will design, build, and deploy scalable AI/ML and GenAI solutions , including LLM-based applications, RAG pipelines, and intelligent AI agents , while ensuring performance, scalability, and business impact., * Machine Learning (MANDATORY) Strong experience with: XGBoost LightGBM Scikit-learn

• Programming Python (mandatory)
• Generative AI LLMs (GPT, Claude, etc.) Prompt engineering AI agents / Agentic workflows RAG Systems Vector databases Embeddings Retrieval pipelines
• MLOps & Deployment Model deployment CI/CD pipelines MLflow / monitoring tools
• Cloud Platforms AWS / Google Cloud Platform
• Statistics & Analytics Strong statistical modeling Data analysis and interpretation

Experience Required

• 8+ years of experience in: Data Science / Machine Learning
• Hands-on experience in: Generative AI (intermediate level)

Preferred Skills

• Experience with: LangChain / CrewAI / AutoGen Vector DBs (Pinecone, FAISS, etc.) Experience in: Agentic AI systems Exposure to: Real-world GenAI applications