Responsibilities:
Key Responsibilities:
As a AI Ops Expert, Responsible and full ownership for the deliverables with greater defined quality standards with defined timeline and budget

Responsibilities:
- Design, implement, and manage AIops solutions to automate and optimize AI/ML workflows.
- Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI/ML models into production.
- Monitor and maintain the health and performance of AI/ML systems.
- Develop and maintain CI/CD pipelines for AI/ML models.
- Implement best practices for model versioning, testing, and deployment.
- Troubleshoot and resolve issues related to AI/ML infrastructure and workflows.
- Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies.

Profile required:
Requirements and skills
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 2-7 year relevant experience
- Proven experience in AIops, MLOps, or related fields.
- Strong proficiency in Python and experience with FastAPI.




- Solid handson expertise on Kubernetes (Or AKS)
- Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow.
- Proficiency in using DevContainer for development.
- Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Strong problem-solving skills and the ability to work in a quick-paced environment.
- Excellent communication and collaboration skills.

Preferred Skills:
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar.
- Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
- Understanding of data versioning tools like DVC or MLflow.
- Experience with infrastructure as code (IaC) tools like Terraform or Ansible.
- Prof

📌 Consultant Software Engineer (Bengaluru)
🏢 Société Générale
📍 Bengaluru