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Views:14
Applicants:1
Posted on 1 Aug, 2026
In Office
Job Description | Responsibilities
- Design, train, and deploy machine learning models.
- Build MLOps pipelines using Azure ML, SageMaker, or Vertex AI.
- Develop AI microservices using Python, FastAPI, or Flask.
- Implement NLP and Generative AI solutions using LangChain and RAG.
- Optimize models through feature engineering and hyperparameter tuning.
- Monitor model performance, drift, explainability, and compliance.
Overview
- Industry - IT - Software / Product Development, IT - INFORMATION TECHNOLOGY
- Job Role - Data Scientist, AI-ML Engineer, Machine Learning Engineer, Solutions Engineer
- Employment type - Full Time - On Contract
- Work Mode - In Office
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Gen AI
Machine Learning
Agentic AI
Domain-Specific AI Solutions
Python
Data Science
Artificial Intelligence
TensorFlow
PyTorch
Scikit-learn
SQL
Azure ML
Amazon SageMaker
Vertex AI
LangChain
MLOps
Generative AI
