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Engineering Manager

Engineering Manager

Virtusa
10-15 Years
Not Disclosed
Early Applicant
  • Posted 2 days ago
  • Be among the first 10 applicants

Job Description

AIML Assurance Testing Manager

Location: HYD Campus, Hyderabad

Years of Experience: 10-15 Years

Job Summary: We are seeking an experienced AIML Assurance Testing Manager to lead our software development team in ensuring the quality and reliability of AI and ML applications. The ideal candidate will have a strong background in AI/ML technologies and a proven track record in software testing and quality assurance.

Responsibilities

  • Lead and manage the AIML testing team, ensuring high-quality deliverables.
  • Develop and implement testing strategies for AI and ML applications.
  • Collaborate with cross-functional teams to define testing requirements and ensure alignment with project goals.
  • Design and execute test plans, test cases, and test scripts for various AI/ML models.
  • Identify, document, and track defects, ensuring timely resolution.
  • Provide guidance and mentorship to junior team members.
  • Stay updated with the latest trends and advancements in AI/ML technologies.

Mandatory Skills

  • Proven experience in AI/ML technologies and frameworks.
  • Strong knowledge of software testing methodologies and best practices.
  • Experience with automated testing tools and frameworks.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.

Preferred Skills

  • Experience with cloud-based AI/ML platforms.
  • Familiarity with Agile and DevOps methodologies.
  • Knowledge of data science principles and practices.
  • Experience in performance testing of AI/ML applications.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10-15 years of experience in software development and testing, with a focus on AI/ML.
  • Relevant certifications in software testing or AI/ML are a plus.

More Info

Key Skills

AI ML technologies and frameworks

software testing methodologies and best practices

automated testing tools and frameworks

cloud-based AI ML platforms

data science principles and practices

Agile and DevOps methodologies

performance testing of AI ML applications

About Company