Engineer - ML QA

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G42
Abu Dhabi
AED 80,000 - 120,000
Be among the first applicants.
2 days ago
Job description

As an Engineer - Quality Assurance at Inception, you will play a critical role in ensuring the quality and reliability of our products and systems. You will be responsible for developing and implementing comprehensive QA strategies, leading testing efforts, and collaborating with cross-functional teams to deliver high-quality solutions. Your expertise in quality assurance and testing methodologies will be essential in driving continuous improvement and maintaining high standards.

The opportunity

The Engineer - Quality Assurance is a technical role focused on leading QA efforts and ensuring the integrity of products through rigorous testing and validation processes. This role involves working closely with development, product management, and other teams to establish and execute QA plans. The ideal candidate will have extensive experience in quality assurance, strong technical skills, and a proactive approach to problem-solving.

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.

Your key responsibilities

  • Develop and implement comprehensive QA strategies and plans.
  • Define testing methodologies, standards, and best practices.
  • Ensure QA processes align with business goals and strategic objectives.
  • Lead the creation and execution of test plans, test cases, and test scripts.
  • Perform manual and automated testing to validate product functionality, performance, and reliability.
  • Identify, document, and track defects and issues to resolution.
  • Work closely with development, product management, and other teams to understand requirements and ensure QA coverage.
  • Communicate QA strategies, progress, and outcomes to stakeholders and senior management.
  • Maintain comprehensive documentation of QA processes, test cases, and results.
  • Utilize data-driven insights to make informed decisions and drive continuous improvement.

Skills and attributes for success

  • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.
  • Minimum of 4 years of experience in quality assurance and testing.
  • Proven track record of implementing and managing QA practices in a complex environment.
  • Experience with QA tools and technologies (e.g., automated testing frameworks, performance testing tools).

To qualify for the role you must have

  • Strong programming skills in languages such as Python, Java, or JavaScript.
  • Proficiency in QA tools and technologies (e.g. Playwright, Selenium, Pytest, Jmeter, JUnit, TestNG).
  • Proficiency in Python libraries like Numpy, Pandas, Seaborn.
  • Prior experience of data validation/ETL testing and SQL.
  • Experience in Cloud technologies like Azure.
  • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab).
  • Excellent problem-solving and analytical skills.

What we look for

If 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 Inception community.

What working at Inception offers

Culture: 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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