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AI Ops Engineer @ Top B2b Mnc

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 AI Ops Engineer

Job Description

Role & responsibilities

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.

Preferred candidate profile

Requirements:

  • 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

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Top B2B MNC Financial
Location(s): Bengaluru

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Keyskills:   ML Flows Devops Python Machine Learning

 Fraud Alert to job seekers!

₹ 5-10 Lacs P.A

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Top B2b Mnc

Top B2B MNC in Financial Services Sector