? 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.
- Good understanding of machine learning algorithms, statistical techniques, model evaluation, and feature engineering.
- Experience working with Scikit-learn and TensorFlow/PyTorch.
- Strong proficiency in Pandas, NumPy, and data analysis.
- Experience working with large datasets and enterprise-scale analytics platforms.
- Understanding of MLOps and ML lifecycle management.
- Strong analytical, problem-solving, and communication skills.
- Willingness to work on-site from Mumbai.

Good to Have
- Experience working on large-scale enterprise analytics platforms.
- Exposure to demand forecasting, supply chain analytics, or time-series forecasting.
- Experience in Oil & Gas or other asset-intensive industries.
- AWS certifications related to Machine Learning, Data, or Cloud.
- Experience with real-time or batch ML inference systems.

What We Offer
- Opportunity to work on enterprise-scale AI/ML projects.
- Hands-on exposure to AWS and modern MLOps practices.
- Opportunity to work on diverse and challenging AI/ML use cases.
- Learning and professional development opportunities.
- Collaborative and technology-driven work environment.
- Competitive compensation and career growth opportunities.

Interested?

If you are an experienced AI/ML skilled with strong Python and AWS SageMaker expertise and enjoy taking machine learning solutions from development to production, we would love to hear from you.

? Apply now or share your profile with us.

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📌 Senior Ai-Ml Analyst (India)
🏢 Nlineaxis IT Solutions
📍 India