Location: Mumbai
Employment Type: Full-Time
Experience: 5+ Years
About the Role We are looking for an experienced Senior AI-ML Analyst to join our team and contribute to the development and deployment of AI/ML solutions for a large-scale enterprise analytics platform.
The ideal candidate will have strong hands-on expertise in Python, Machine Learning, AWS SageMaker, and statistical analysis , along with proven experience taking ML models from development through production deployment and monitoring.
Key Responsibilities Own and deliver multiple AI/ML use cases from problem definition through production deployment.
Design, develop, train, validate, and deploy machine learning models.
Build and optimize ML workflows using Python and industry-standard ML frameworks .
Use AWS SageMaker for model training, deployment, monitoring, and lifecycle management.
Perform data exploration, feature engineering, statistical analysis, and model evaluation.
Extract actionable insights from large-scale datasets to support business and analytical requirements.
Monitor model performance, accuracy,



and reliability in production environments.
Implement and follow MLOps practices for reproducible and scalable ML workflows.
Collaborate with data engineers, business stakeholders, and technical teams to translate requirements into ML solutions.
Continuously evaluate and improve model performance and analytical approaches.
Maintain technical documentation for models, experiments, pipelines, and deployments.
Key Technologies Python
Scikit-learn
TensorFlow / PyTorch
AWS SageMaker
Pandas & NumPy
Statistical / Data Science Libraries
Jupyter Notebook
MLOps
Requirements 5+ years of experience in AI/ML, Data Science, or a closely related field.
Strong hands-on experience with Python and Machine Learning .
Proven experience developing and deploying ML models into production environments .
Strong practical experience with AWS SageMaker , including model training, deployment, and monitoring.
Positive unders

📌 Senior AI-ML Analyst (Gpo)
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📍 Gpo