Senior AIML Systems Test Engineer
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
OP is partnering with a globally renowned leader in media entertainment and consumer experiences to hire a technically skilled quality-driven Senior AI/ML Systems Test Engineer. This role is ideal for experienced engineers who excel at validating complex intelligent systems and ensuring the reliability of data-driven applications at scale. Operating in a fast-paced environment that values innovation and excellence the team applies a software engineering mindset to architect design automate and monitor testing frameworks supporting adaptive algorithms and dynamic system behaviors.
Collaborating closely with cross-functional teams you will help embed quality throughout the development lifecycle promote best practices and drive continuous improvement across digital platforms. This is a hands-on position with opportunities to lead strategic testing initiatives mentor peers and help deliver high-quality experiences to a global audience.
Key Responsibilities:
- Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
- Develop and maintain automated test frameworks and tools to support CI/CD pipelines.
- Collaborate with developers product managers and data specialists to embed quality from ideation through deployment.
- Conduct exploratory testing and risk analysis for complex data-intensive systems.
- Monitor and report on quality metrics identifying trends and areas for improvement.
- Advocate for best practices in software quality engineering including test-driven development and shift-left testing.
- Stay current with emerging technologies and testing approaches especially those relevant to AI/ML systems.
- Provide technical direction and problem-solving support across engineering teams.
- Plan and execute strategic continuous improvement initiatives.
- Consult with engineering operations and leadership to align quality goals with business objectives.
Basic Qualifications:
- Bachelors degree in Computer Science Engineering or related field-or equivalent work experience.
- Minimum 5 years of hands-on experience in software engineering or quality engineering.
- Proven experience in testing intelligent data-driven systems.
- Strong understanding of model validation bias detection and performance benchmarking.
- Proficiency in test automation tools and scripting languages (e.g. Python JavaScript).
- Familiarity with AI testing tools and libraries (e.g. TensorFlow Model Analysis MLflow PyTest).
- Experience with RESTful APIs microservices and cloud platforms (AWS GCP Azure).
- Proficiency with Git Jira Jenkins GitHub Actions and other CI/CD tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities across technical and non-technical teams.
- Ability to work independently and manage asynchronous workflows across distributed teams.
Preferred Qualifications:
- Masters degree in Computer Science Engineering or related field.
- Experience with risk management and mitigation strategies.
- Familiarity with Agile methodologies and SDLC best practices.
- Knowledge of test metrics reporting and continuous improvement frameworks.
Education:
- Bachelors degree required; Masters preferred.
- Equivalent work experience may be considered.
Work Style & Decision-Making:
- Operates with a high degree of autonomy and technical ownership.
- Tasks are aligned with strategic initiatives and managed independently.
- Receives high-level direction from leadership; day-to-day decisions are self-managed.
- Work is reviewed collaboratively at key milestones for strategic alignment and technical quality.
- Expected to proactively communicate progress surface risks and seek feedback when needed.
Why Join Us
At our organization quality powers magic. The Quality Engineering team ensures that every digital experience from streaming content to interactive platforms is built with precision resilience and innovation. Youll be part of a team that values agility creativity and impact where your work directly contributes to the future of entertainment.
At our organization quality powers magic. The Quality Engineering team ensures that every digital experience from streaming content to interactive platforms is built with precision resilience and innovation. Youll be part of a team that values agility creativity and impact where your work directly contributes to the future of entertainment.
