Job Summary We are seeking an experienced AI Native Engineer with a strong focus on Quality Assurance (QA) to join our consultancy team. The ideal candidate will possess extensive knowledge in AI and Machine Learning (ML) technologies, ensuring the delivery of high-quality AI-driven solutions. This role requires a blend of technical expertise and consultancy skills to effectively engage with clients and deliver exceptional results.
Responsibilities
- Design, develop, and implement QA processes for AI and ML applications.
- Collaborate with cross-functional teams to define testing strategies and ensure quality standards are met.
- Conduct thorough testing of AI models and algorithms to validate performance and accuracy.
- Identify, document, and track defects, and work with development teams to resolve issues.
- Provide consultancy to clients on best practices for AI and ML implementation and testing.
- Stay updated with the latest trends and advancements in AI and ML technologies.
Mandatory Skills
- Proven experience in AI and Machine Learning technologies.
- Robust background in Quality Assurance methodologies and tools.
- Experience with automated testing frameworks and tools.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills for client engagement.
Preferred Skills
- Experience with cloud-based AI solutions.
- Familiarity with data engineering and data science concepts.
- Knowledge of programming languages such as Python, R, or Java.
- Experience in Agile methodologies.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10-15 years of relevant experience in AI, ML, and QA.
- Certifications in AI/ML or QA methodologies are a plus.