Browse current jobs

Senior AI-ML Analyst

CloudThat · Mumbai

Apply on employer website

Source and collection record

Read the employer source

Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Employer requisition: 135340

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

About CloudThat: At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. About the Role: Lead 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 (training, deployment, monitoring) • Pandas, NumPy, Statistical libraries • Jupyter, MLOps practices What You'll Do: • Own multiple AI/ML use cases • Design, train & deploy ML models on SageMaker • Monitor model performance and accuracy • Extract insights from large-scale data • Support advanced analytics use cases Requirements: • 5+ years in AI/ML with deployment experience • Strong SageMaker and Python expertise • Proven model development to production track record • Mumbai based (on-site) Nice to Have: Experience in Oil & Gas domain / demand forecasting / supply chain analytics

Collected experience requirement

5+ years