Engineer- ML QA

Found in: Talent AE 2A C2 - 2 weeks ago

Dubai, United Arab Emirates AlAlamein International University Full time
Job DescriptionOverviewWe are seeking an experienced and highly motivated QA Engineer to oversee the quality assurance for our machine learning products and services. The ideal candidate will have a deep understanding of machine learning technologies, along with a strong hands-on experience in quality assurance and different methodologies.The opportunityCore42 is the UAE’s national-scale enabler for cloud and generative AI, combining G42 Group’s expertise across multiple technology disciplines into a single platform for public sector and large enterprise transformations. Building on our capabilities as sovereign cloud and HPC specialist, we bring generative AI, cybersecurity, professional and managed services expertise to enable national-scale program deployments across industries.Responsibilities Lead and mentor a team of QA engineers to ensure the highest quality product delivery. Design, implement 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 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.QualificationsSkills and attributes to success Bachelor’s degree in Computer Science, Engineering, or a related technical field. +5 years of experience in a QA role. 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 stackProgramming languages: Python, Java, SQLTesting Tools: Selenium, JUnit, PyTest, Gatling, PostmanCI/CD: Jenkins, GitLab CI/CD,Version Control: GitCloud Services: Azure (optional AWS, GCP)Databases: MySQL, MongoDB, PostgreSQLMonitoring Tools: Grafana, KibanaCollaboration: Jira, ConfluenceOther Technologies: Docker, KubernetesWhat We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Core42 community.What Working At Core42 OffersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

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