Principal Software Engineer - AI Research & Development

Societe Generale Global Solution Centre; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Societe Generale Global Solution Centre, located in Bengaluru, is seeking an AI Ops Expert. In this role, you will have full ownership of AI operations, designing and managing AIops solutions, and collaborating with data teams. Qualified candidates should possess a relevant degree and 2-7 years of experience, along with proficiency in Kubernetes, Azure, and Python. The company offers a commitment to diversity and equal opportunity for all applicants.

Qualifications

• 2-7 years of relevant experience in AIops, MLOps, or related fields.
• Strong hands-on expertise on Kubernetes or AKS.
• Experience with containerization and orchestration tools like Docker.

Responsibilities

• Design, implement, and manage AIops solutions to automate and optimize workflows.
• Collaborate with data scientists and engineers to integrate AI/ML models.
• Monitor and maintain the health of AI/ML systems.

Skills

AIops solutions

MLOps

Python

FastAPI

Kubernetes

MS Azure

DevContainer

CI/CD tools

Docker

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure ML Flow

Jenkins

GitHub Actions

Azure DevOps

TensorFlow

PyTorch

Apache Kafka

Apache Spark

Prometheus

Grafana

Terraform

Ansible

Job description

Overview

Key Responsibilities: As a AI Ops Expert, responsible and full ownership for the deliverables with greater defined quality standards with defined timeline and budget. Reference 25000NMZ

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 hands-on 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

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.