Careers at CLOUDSARA AI

Shape the future of Manufacturing with Industrial AI and MLOps.

Machine Learning Engineer (Computer Vision Focus)

Location: India R&D Center 1 | Job ID: MLE-CV-2024

Role Summary

You will design, develop, and deploy production-grade Computer Vision models for real-time quality inspection and object detection systems in manufacturing environments. Experience with edge computing is highly valued.

Key Responsibilities

  • Develop and train deep learning models (CNNs, Transformers) for image classification and segmentation.
  • Optimize models for low-latency inference on industrial edge devices (NVIDIA Jetson, Intel Movidius).
  • Work within MLOps pipelines for model versioning, testing, and continuous deployment.
  • Collaborate with Data Engineers to ensure data quality and labeling accuracy.

Minimum Qualifications

  • Bachelor's/Master’s degree in Computer Science or related field.
  • 3+ years of experience with Python, TensorFlow/PyTorch.
  • Proven track record of deploying at least one Computer Vision model to a production environment.

Senior Industrial Data Scientist (Predictive Maintenance)

Location: USA Office (Remote/Hybrid) | Job ID: DS-PM-2024

Role Summary

Lead the development of advanced time-series and predictive maintenance models using SCADA, PLC, and sensor data. Your work will directly reduce unscheduled downtime for our Fortune 500 manufacturing clients.

Key Responsibilities

  • Perform exploratory data analysis (EDA) on large-scale industrial IoT datasets.
  • Build models for Remaining Useful Life (RUL) estimation and anomaly detection.
  • Communicate complex results to non-technical stakeholders and client executives.
  • Develop simulation models to test and validate prediction accuracy.

Minimum Qualifications

  • Master's degree or Ph.D. in a quantitative field (Statistics, Engineering, Data Science).
  • 5+ years of relevant experience, with expertise in time-series analysis and machine health monitoring.
  • Expertise in Python (Pandas, Scikit-learn) and SQL.

MLOps/DevOps Automation Specialist

Location: India R&D Center 2 | Job ID: MLOPS-INFRA-2024

Role Summary

You are the bridge between AI development and production. You will build, maintain, and optimize the cloud infrastructure and automated pipelines that support all of our AI/ML applications, ensuring reliability and scalability.

Key Responsibilities

  • Design and implement CI/CD pipelines for ML models using tools like Jenkins, GitLab CI, or Azure DevOps.
  • Manage cloud resources (AWS/Azure/GCP) for training and inference environments.
  • Implement monitoring solutions (e.g., Prometheus, Grafana) for model performance and data drift.
  • Ensure security and compliance for all deployed models and data handling.

Minimum Qualifications

  • Bachelor's degree in Engineering or Computer Science.
  • 3+ years of experience with MLOps tools (Kubeflow, MLflow, TFX) and cloud services.
  • Proficiency with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform).

Ready to Apply?

To apply for any of the positions above, please send your **resume** and a brief **cover letter** referencing the **Job ID** in the subject line.

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Email: careers@saratechnologies.co.in