Data Engineer – Machine Learning (GCP AI-ML)


Job Location:

Gurgaon - India

Monthly Salary: ₹ 18 - 22
Experience Required: 7years
Posted on: 11 days ago
Vacancies: 1 Vacancy

Job Summary


Hiring: Data Engineer Machine Learning (GCP / AI-ML)

Location: Gurgaon
Work Mode: Work From Office (Day 1 Mandatory)
Interview Mode: Face-to-Face (Mandatory)


We are looking for an experienced Data Engineer Machine Learning with strong expertise in ML pipelines Deep Learning and Google Cloud Platform.

Key Responsibilities:


Design and build end-to-end ML pipelines on Google Cloud Platform
Develop scalable machine learning solutions using Python and ML frameworks
Work on Deep Learning and Transformer-based models
Build and optimize data pipelines for ML workflows
Collaborate with stakeholders for requirements gathering and solution design
Deploy and maintain production-grade ML systems


Required Skills:


8 years total experience 7 years relevant experience
Strong hands-on in Python (OOPs DSA design patterns)
Experience with Machine Learning frameworks (Scikit-learn XGBoost LightGBM)
Strong knowledge of Deep Learning (PyTorch / TensorFlow)
Experience in NLP Transformers and Generative AI
Hands-on with GCP and ML pipeline development
Familiarity with LangChain LangGraph LLM APIs (OpenAI Gemini etc.) preferred






Required Skills:

8 years total experience 7 years relevant experience Strong hands-on in Python (OOPs DSA design patterns) Experience with Machine Learning frameworks (Scikit-learn XGBoost LightGBM) Strong knowledge of Deep Learning (PyTorch / TensorFlow) Experience in NLP Transformers and Generative AI Hands-on with GCP and ML pipeline development Familiarity with LangChain LangGraph LLM APIs (OpenAI Gemini etc.) preferred

Hiring: Data Engineer Machine Learning (GCP / AI-ML) Location: Gurgaon Work Mode: Work From Office (Day 1 Mandatory)Interview Mode: Face-to-Face (Mandatory)We are looking for an experienced Data Engineer Machine Learning with strong expertise in ML pipelines Deep Learning and Google Cloud Platform...