AI Engineering Solutions Specialist

4 days ago


Chennai, Tamil Nadu, India Moative Full time
About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.

We are a team of Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs with a passion for innovation and efficiency.

The Role

We seek experienced ML/AI professionals to join our Azure-focused MLOps team. If you're passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Key Responsibilities
  • Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
  • Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
  • Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
  • Implement best practices for securing ML workflows on Azure, including identity/access management, container security, and data encryption.
Requirements
  • 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
  • Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
  • Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
  • Fundamental understanding of MLOps: MLflow or similar frameworks for tracking and versioning.
  • Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
  • Broad understanding of data structures and data engineering.
Benefits

As a member of our team, you will be part of a young and innovative company that values thinking long-term while acting with urgency. Our ethos is rooted in innovation, efficiency, and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

We offer a competitive salary of ₹1200000 per annum based on your experience and qualifications.



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