Location
Remote, Remote, India
Posted
July 09, 2026
Job Description
Roles & Responsibilities :
- Develop, train, and deploy machine learning models for production.
- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and evaluation.
- Develop AI solutions using NLP, LLMs, RAG, and Agentic AI frameworks.
- Optimize models for accuracy, scalability, and performance.
- Deploy and monitor ML models on cloud platforms (AWS/GCP/Azure).
- Collaborate with engineering and product teams to deliver production-ready AI solutions.
- Implement MLOps best practices, including model versioning, CI/CD, and automated retraining.
- Document experiments, validate models, and continuously improve model performance. Requirements :
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
- 4-6 years of experience in Data Science or Machine Learning.
- Strong proficiency in Python, SQL, scikit-learn, and PyTorch or TensorFlow.
...
- Develop, train, and deploy machine learning models for production.
- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and evaluation.
- Develop AI solutions using NLP, LLMs, RAG, and Agentic AI frameworks.
- Optimize models for accuracy, scalability, and performance.
- Deploy and monitor ML models on cloud platforms (AWS/GCP/Azure).
- Collaborate with engineering and product teams to deliver production-ready AI solutions.
- Implement MLOps best practices, including model versioning, CI/CD, and automated retraining.
- Document experiments, validate models, and continuously improve model performance. Requirements :
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
- 4-6 years of experience in Data Science or Machine Learning.
- Strong proficiency in Python, SQL, scikit-learn, and PyTorch or TensorFlow.
...