Lead Software Engineer- AIOPS/ AI Engineering, Kubernate, Python

As an AI Ops Expert, you will be responsible for taking full ownership of deliverables with defined quality standards, timelines, and budget constraints. Your primary role will involve designing, implementing, and managing AIops solutions to automate and optimize AI/ML workflows. Collaborating with data scientists, engineers, and stakeholders is essential to ensure the seamless integration of AI/ML models into production environments. Your duties will also include monitoring and maintaining the health and performance of AI/ML systems, developing and maintaining CI/CD pipelines specifically tailored for AI/ML models, and implementing best practices for model versioning, testing, and deployment. In case of issues related to AI/ML infrastructure or workflows, you will troubleshoot and resolve them effectively. To excel in this role, you are expected to stay abreast of the latest AIops, MLOps, and Kubernetes tools and technologies. Your strong skills should include proficiency in Python with experience in Fast API, hands-on expertise in Docker and Kubernetes (or AKS), familiarity with MS Azure and its AI/ML services like Azure ML Flow, and the ability to use DevContainer for development purposes. Furthermore, you should possess knowledge of CI/CD tools such as Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps, experience with containerization and orchestration tools like Docker and Kubernetes, proficiency in Infrastructure as code (Terraform or equivalent), familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and exposure to data engineering tools such as Apache Kafka, Apache Spark, or similar technologies.,