Lead Software Engineer -AI Ops/ML OPS/ Python & Kubernates Societe Generale Global Solution Centre

8.0 - 12.0 years

0 Lacs

karnataka

On-site

As an AI Ops Expert, you will be responsible for the delivery of projects with defined quality standards within set timelines and budget constraints. Your role will involve managing the AI model lifecycle, versioning, and monitoring in production environments. You will be tasked with building resilient MLOps pipelines and ensuring adherence to governance standards. Additionally, you will design, implement, and oversee AIops solutions to automate and optimize AI/ML workflows. Collaboration with data scientists, engineers, and stakeholders will be essential to ensure seamless integration of AI/ML models into production systems. Monitoring and maintaining the health and performance of AI/ML systems, as well as developing and maintaining CI/CD pipelines for AI/ML models, will also be part of your responsibilities. Troubleshooting and resolving issues related to AI/ML infrastructure and workflows will require your expertise, along with staying updated on the latest AI Ops, MLOps, and Kubernetes tools and technologies. To be successful in this role, you must possess a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, along with at least 8 years of relevant experience. Your proven experience in AIops, MLOps, or related fields will be crucial. Proficiency in Python and hands-on experience with Fast API are required, as well as strong expertise in Docker and Kubernetes (or AKS). Familiarity with MS Azure and its AI/ML services, including Azure ML Flow, is essential. Additionally, you should be proficient in using DevContainer for development and have knowledge of CI/CD tools like Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps. Experience with containerization and orchestration tools, Infrastructure as Code (Terraform or equivalent), strong problem-solving skills, and excellent communication and collaboration abilities are also necessary. Preferred skills for this role include experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, as well as 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, along with an understanding of data versioning tools like DVC or MLflow, would be advantageous. Proficiency in Azure-specific tools and services like Azure Machine Learning (Azure ML), Azure DevOps, Azure Kubernetes Service (AKS), Azure Functions, Azure Logic Apps, Azure Data Factory, Azure Monitor, and Application Insights is also preferred. Joining our team at Socit Gnrale will provide you with the opportunity to be part of a dynamic environment where your contributions can make a positive impact on the future. You will have the chance to innovate, collaborate, and grow in a supportive and stimulating setting. Our commitment to diversity and inclusion, as well as our focus on ESG principles and responsible practices, ensures that you will have the opportunity to contribute meaningfully to various initiatives and projects aimed at creating a better future for all. If you are looking to be directly involved, develop your expertise, and be part of a team that values collaboration and innovation, you will find a welcoming and fulfilling environment with us at Socit Gnrale.,

Posted 1 week ago

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