Senior AI-ML Analyst

Location: Mumbai (In office)

Experience: 5 Years

Employment Type: Full-Time

Budget: 15-20 LPA

About the Role The Senior AI-ML Analyst will be responsible for designing and implementing advanced AI and machine learning models to solve complex business problems. The role requires expertise in Python and data analysis, with a focus on developing scalable solutions and extracting actionable insights from large datasets.

The role involves leading AI/ML model development and deployment for a large-scale analytics platform supporting a major Oil & Gas enterprise, using AWS SageMaker.

Key Technologies

Python

Scikit-learn

TensorFlow / PyTorch

AWS SageMaker

Pandas

NumPy

Statistical Libraries

Jupyter

MLOps

Key Responsibilities

Own multiple AI/ML use cases.

Design, train, and deploy ML models on AWS SageMaker.

Monitor model performance and accuracy.

Extract insights from large-scale datasets.





Support advanced analytics use cases.

Develop, evaluate, and deploy machine learning models.

Implement scalable AI/ML solutions.

Apply MLOps practices for production model deployment and monitoring.

Requirements

5 years of experience in AI/ML.

Strong expertise in Python and AWS SageMaker.

Hands-on experience with model development, evaluation, and deployment.

Proven track record of taking ML models from development to production.

Strong data analysis and statistical modeling skills.

Experience working with large datasets.

Mumbai-based candidates with availability for on-site work.

Nice to Have

Experience in the Oil & Gas domain.

Experience in demand forecasting.

Experience in supply chain analytics.

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