Machine Learning Engineer

Job Title:

Desired Experience Range:

Job Location:

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).

For more information contact: 9201978229/ 9329922460