A leading innovator sought for expertise in developing automation test strategies

2 weeks ago

Hubli, Karnataka, India beBeeAutomation Full time ₹ 15,00,000 - ₹ 22,00,000
Job Title: Machine Learning Automation Professional

As a seasoned Machine Learning Automation Professional, you will be responsible for designing and implementing automation frameworks using cutting-edge tools like pytest, mlflow, Selenium, or Serenity BDD. You will work closely with our team to develop high-quality test strategies for AI/ML applications deployed on public and private cloud environments.

Required Skills and Qualifications:
  • Expertise in Agile Methodology: Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
  • Programming: Proficiency in Python (preferred) and Java for AI and ML automation tasks.
  • Testing AI & ML Models: Experience testing Generative AI models, Large Language Models (LLMs), and AI-driven systems.
  • Automation Frameworks for AI: Hands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD.
  • Cloud Automation Strategy: Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments.
  • API and Web Services Testing: Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API.
  • CI/CD Automation: Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
  • Test Management Tools: Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
  • Variety of Testing Types: Experience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications.

 

Benefits:

  • Be part of a dynamic team that is pushing the boundaries of AI/ML innovation.
  • Collaborate with experienced professionals who share your passion for AI/ML.
  • Stay up-to-date with the latest industry trends and best practices through ongoing training and development opportunities.

 

Others:

  • Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
  • Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

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