Senior AI-ML Analyst
Cloud9 Technologies · Mumbai · onsite · Posted 38d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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 Youll 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Demand ForecastingConsultingUsageMonitoringCustomer InteractionAnalyticsPythonSupply ChainAdvanced AnalyticsModel Development
About Cloud9 Technologies

Cloud9 Technologies
IT Services & Consulting
1
employees
2012
14 years old
Pune
India
₹7.2L PA avg
Avg at Cloud9 Technologies
About
Cloud9 Technologies enhances manufacturing performance through its PMTRACK solution, achieving significant operational improvements for tier 1 and 2 industrial clients.
Industries
IT Services & Consulting
Employee ratings
10 reviews
4.6/ 5
Culture
4.1
Career growth
3.8
Work-life
4.3
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