Description :

Job Title : AI-ML Engineer !!

Desired Experience Range : Overall 8-10 Years with 3 -5 years of experience in AI/ML

Must Have :

Programming & Core Tools :

- Python (NumPy, Pandas, Scikit-learn, Seaborn), SQL

- Data manipulation, visualization, and model development

Generative AI & LLMs :

- OpenAI GPT, Gemini, LLaMA, Claude

- Prompt Engineering, RAG (FAISS, ChromaDB, PGVector)

- Frameworks : LangChain, Langfuse Agentic AI

- LangChain, LlamaIndex, LangGraph, Autogen, Google ADK

ML & Deep Learning :

- TensorFlow, PyTorch, XGBoost, LightGBM

- Vision Models : YOLO, ResNet

- Fine-tuning : PEFT, LoRA

Cloud & MLOps

- AWS SageMaker, Azure AI, Google Vertex AI

- MLflow, Kubeflow, Docker, Kubernetes

- Deployment : Streamlit, FastAPI, Gradio

Responsibility of / Expectations from the Role :

1) Develop and optimize ML models for regression, classification, forecasting, and deep learning tasks.

2) Implement Generative AI solutions including Prompt Engineering, LLM fine-tuning, and RAG-based architectures.

3) Build and deploy AI-powered applications using LangChain, LlamaIndex, and other agentic frameworks.

4) Integrate AI into SDLC for coding assistance, quality engineering, and automation.

5) Design and maintain MLOps pipelines for model deployment, monitoring, and CI/CD.

6) Work with Vector Databases and Knowledge Graphs for advanced AI search and reasoning.

7) Collaborate with cross-functional teams to deliver scalable AI solutions on Cloud AI platforms (AWS, Azure, GCP).