Principal Software Engineer - AI Platform
at Societe Generale
Posted 16 hours ago
No clicks
- Compensation
- Not specified INR
- City
- Bengaluru
- Country
- India
Currency: INR
Lead design, development and deployment of AI ops solutions to automate and optimize AI/ML workflows. Collaborate with data scientists, engineers and stakeholders to integrate AI/ML models into production, monitor health and performance, and develop CI/CD pipelines. Ensure best practices for model versioning, testing and deployment and troubleshoot AI/ML infrastructure. Stay current with AI ops, MLOps and Kubernetes tooling to drive scalable, reliable AI platforms.
Key Responsibilities:<\/b><\/p>
As a AI Ops\u00a0 Expert , Responsible and full ownership for the deliverables with greater defined quality standards with defined timeline and budget \u00a0<\/p>
Responsibilities:<\/b><\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Design, implement, and manage AIops solutions to automate and optimize AI\/ML workflows.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI\/ML models into production.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Monitor and maintain the health and performance of AI\/ML systems.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Develop and maintain CI\/CD pipelines for AI\/ML models.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Implement best practices for model versioning, testing, and deployment.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Troubleshoot and resolve issues related to AI\/ML infrastructure and workflows.<\/p>
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies.<\/p>Profile required
Requirements and skills<\/strong><\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bachelor\u2019s or Master\u2019s degree in Computer Science, Software Engineering, or a related field.\u00a0<\/p> \u00b7\u00a0 \u00a0 \u00a0 \u00a02-7 year relevant experience<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proven experience in AIops, MLOps, or related fields.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strong proficiency in Python and experience with FastAPI.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strong handson expertise on Kubernetes (Or AKS)<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hands-on experience with MS Azure and its AI\/ML services, including Azure ML Flow.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proficiency in using DevContainer for development.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Knowledge of CI\/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with containerization and orchestration tools like Docker and Kubernetes.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strong problem-solving skills and the ability to work in a fast-paced environment.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Excellent communication and collaboration skills.<\/p> Preferred Skills:<\/b><\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Understanding of data versioning tools like DVC or MLflow.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Experience with infrastructure as code (IaC) tools like Terraform or Ansible.<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proficiency in Azure-specific tools and services, such as: <\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Machine Learning (Azure ML)<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure DevOps<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Kubernetes Service (AKS)<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Functions<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Logic Apps<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Data Factory<\/p> \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Azure Monitor and Application Insights<\/p>Why join us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status\u201d.<\/p>Business insight At Soci\u00e9t\u00e9 G\u00e9n\u00e9rale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you\u2019re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily\u00a0basis and develop or strengthen your expertise, you will feel right at home with us!<\/p> Still hesitating?<\/p> You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.<\/p> We are committed to support accelerating our Group\u2019s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.<\/p> \u00a0<\/strong><\/p>","identifier":{"@type":"PropertyValue","name":"Recruitment Societe Generale","value":"25000NI6"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India"}}} window.dataLayer = window.dataLayer || []; var aData = { customVarPage1: "Principal Software Engineer - AI Platform", customVarPage2: "Bangalore", customVarPage3: "Permanent contract", customVarPage4: "25000NI6", customVarPage5: "SG Global Solution Centre", customVarPage6: "IT (Information Technology)", customVarPage7: "2026/03/02" } window.dataLayer.push(aData); 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. 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. · Strong 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 fast-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. · Proficiency in Azure-specific tools and services, such as: · Azure Machine Learning (Azure ML) · Azure DevOps · Azure Kubernetes Service (AKS) · Azure Functions · Azure Logic Apps · Azure Data Factory · Azure Monitor and Application Insights We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”. At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection. Principal Software Engineer - AI Platform
Responsibilities
Profile required
Why join us
Business insight
Diversity and Inclusion
