Senior Engineer, AI, Quality Assurance
SES Global Technology Services
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Job Description
Senior Engineer, AI, Quality Assurance
- Define, build, and maintain the AI strategy for QA, including capability roadmaps and implementation plans.
- Identify high-value AI opportunities across QA workflows such as intelligent test creation, defect clustering, anomaly detection, and quality risk prediction.
- Develop internal AI/ML guidelines, risk considerations, and governance practices specific to QA.
- Architect, design, and develop AI/ML solutions that improve quality engineering effectiveness and automation maturity.
- Implement models for predictive test selection, failure pattern detection, test suite optimization, and reliability insights.
- Integrate AI capabilities into existing automation pipelines, CI/CD, and QA tools.
- Design and execute QA strategies for AI/ML systems including:
- Model performance accuracy validation
- Robustness, fairness, and drift analysis
- Data quality checks and integrity validation
- Explainability and behavioral consistency testing
- Ensure AI/ML components used within SES adhere to reliability, compliance, and ethical AI standards.
- Build AI-powered enhancements for automation frameworks (e. g. , self-healing scripts, auto generated test cases).
- Use NLP, LLMs, or ML-based techniques to accelerate functional and non-functional test coverage.
- Implement automation for model validation pipelines (MLOps testing).
- Collaborate with QA teams (Functional, Automation, Non Functional, Release Team) to introduce and adopt AI capabilities.
- Provide hands-on mentoring, training sessions, and guidance inside QA to uplift AI skills and practices.
- Support QA teams during design reviews, solution evaluations, and strategy discussions related to AI in testing.
- Define measurable KPIs for AI adoption, efficiency gains, quality improvements, and automation impact.
- Produce dashboards and reports showing AI driven improvements across QA.
- Continuously refine AI/ML models, pipelines, and tools based on feedback and production results.
- Ensure compliance with SES quality management practices and evolving industry standards.
- Perform other QA-related tasks as required.
- Ability to work in an agile, fast-paced environment and adapt to changing priorities.
- Strategic thinker with the ability to operationalize AI initiatives within QA.
- Strong technical leadership within engineering teams.
- Excellent analytical skills; ability to process complex quality and AI problems.
- High attention to detail, responsibility, and ownership mindset.
- Strong communication skills across distributed global QA teams.
- Adaptability in a rapidly evolving AI technology landscape.
- Proven ability to execute with minimal supervision.
- Self-motivated with a "doer mentality" and willingness to take initiative without supervision.
- Clear and concise written and verbal communication skills.
- Fluency in spoken and written English; additional languages considered an asset.
- Bachelor s or Master s degree in Computer Science, Engineering, AI/ML, or related field.
- Several years of QA engineering, automation, or software engineering experience with 3+ years building AI/ML solutions.
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn).
- Strong programming skills in Python and/or TypeScript/Java, with proven automation experience.
- Experience integrating AI into quality workflows, CI/CD pipelines, or test frameworks.
- Strong understanding of MLOps, ML lifecycle, data pipelines, and model validation.
- Familiarity with Agile methods and QA processes.
- Experience validating ML models for performance, fairness, and drift is a strong advantage. Strong attention to detail, analytical troubleshooting and a commitment to system quality.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
About The Company
SES Global Technology Services
SES is expanding its presence in India with the establishment of an inspired new tech hub in Chennai. SES has been active in the Indian space market for over two decades with many successful partnerships country wide. Our new state-of-the-art Chennai hub reflects our commitment to leverage the exceptionally innovative talent pool the country offers. Situated in the 40-acre DLF tech campus in Cyber City, the new hub which will house many employees will play a crucial role in supporting SES drive efficiency, customer centricity and operational excellence to support our global clients across verticals which include; video, aero, cruise, government, enterprise and telco markets. This expansion will strengthen SES's capabilities and is underpinned by our confidence in India being a key hub for our future success and growth. All of us have a story. At SES, we believe you should have the freedom to take your story wherever you want it to go – unlimited by geography, technology, or even gravity. This is why we provide an intelligent network comprising a multi-orbit constellation of Geostationary (GEO) and Medium Earth Orbit (MEO) satellites and extensive ground infrastructure – to deliver video and data solutions that connect more people in more places with content that enriches their personal stories. As a provider of global content connectivity solutions, we do the extraordinary in space to deliver amazing experiences everywhere on Earth. Because when everyone is empowered with content and connectivity, billions of experiences – and, thus, billions of stories – have infinite possibilities. Take your story anywhere. With SES.
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