Senior Engineer – ML QA
Full time @Inception posted 4 weeks ago in Engineering , in Technology & IT Shortlist Email JobJob Detail
-
Job ID 23861
-
Career Level Others
-
Experience 5 Years
-
Industry Technology & IT > Engineering
Job Description
Job Description
Overview As a Sr. Engineer – ML QA at Inception, you will be responsible for developing and executing quality assurance processes to ensure the accuracy, reliability, and performance of machine learning models. Reporting to the Lead Engineer – ML QA, you will work closely with data scientists, software engineers, and product teams to validate ML models and systems. Your role is crucial in maintaining high standards of quality for the company’s machine learning initiatives. The opportunity The Sr. Engineer – ML QA is a technical role focused on testing and validating machine learning models to ensure they meet the required quality standards. This role involves creating and executing test plans, analyzing test results, and collaborating with various teams to ensure ML models are robust and reliable. The ideal candidate will have experience in quality assurance for machine learning projects and a solid understanding of ML techniques and tools. Inception is the UAE s national-scale enabler in AI Research and Development. Partnering with Microsoft’s AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region. Responsibilities As a Sr. Engineer – ML QA, you will be responsible for executing QA processes for machine learning models to ensure they meet the company s quality standards. Your role will encompass a range of activities focused on model validation, testing, and collaboration. Collaborate with a team of ML QA engineers to ensure the highest quality product delivery. Design, implement, and oversee the overall ML QA strategy for machine learning-based products and services. Collaborate closely with cross-functional teams, including software engineers, machine learning scientists, and product managers. Design and execute test plans, including manual and automated test cases. Monitor ML QA results and metrics, and report findings to senior management. Lead root cause analysis and complex problem-solving initiatives for project issues. Maintain up-to-date knowledge of the latest QA tools, frameworks, and best practices, and drive adoption across the QA team. Ensure compliance with industry and company quality standards. Qualifications Skills and attributes for success Bachelor s degree in Computer Science, Engineering, or a related technical field. Minimum of 7 years of experience in a QA role, with at least 2 years in a leadership position. In-depth experience with QA methodologies, tools, and processes. Understanding of machine learning products lifecycle. Strong experience with data quality assessment. Proven experience in writing clear, concise, and comprehensive test plans and test cases. Familiarity with software development lifecycle (SDLC) and agile methodologies. Experience with cloud-based services and architectures. Strong problem-solving skills and excellent attention to detail. Domain experience in health, finance or climate industry is a plus. Excellent verbal and written communication skills. Tech stack Programming languages: Python, Java, SQL Testing Tools: Selenium, JUnit, PyTest, Gatling, Postman CI/CD: Jenkins, GitLab CI/CD, Version Control: Git Cloud Services: Azure (optional AWS, GCP) Databases: MySQL, MongoDB, PostgreSQL Monitoring Tools: Grafana, Kibana Collaboration: Jira, Confluence Other Technologies: Docker, Kubernetes, Naukrigulf, Inception
Required skills
Other jobs you may like
-
Field Engineer – I (UAE Nationals)
- @ Baker Hughes
- Abu Dhabi, United Arab Emirates