AI & Test Automation Lead

About the role

You'll ensure the quality, reliability, and performance of software applications, driving impactful QA transformation from manual to automated methods at scale. Day-to-day, you’ll work closely with teams across the business (developers, AI experts, and cross-functional stakeholders), analyze software test results to provide actionable insights, and refine AI models to improve test generation accuracy, and much more.

Responsibilities

• Developing and implementing automated testing frameworks (e.g., Robot Framework or similar) and writing robust automated test scripts.
• Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy.
• Refining AI models or collaborating with AI experts to enhance test automation capabilities.
• Building and deploying applications using LLM APIs (e.g., OpenAI, Ollama) and leveraging transformer architectures, attention mechanisms, and embedding models for semantic search.
• Proficiency in Python development with strong software engineering fundamentals and experience with ML frameworks like PyTorch, TensorFlow, and the Hugging Face ecosystem.
• Employing MLOps practices, including model versioning, monitoring, and deployment, to ensure seamless integration of AI models into testing pipelines.
• Leading testing teams or initiatives, providing training, and driving QA transformation from manual to automated methods at scale.
• Communicating complex AI and testing concepts effectively to both technical and non-technical stakeholders.
• Collaborating with cross-functional teams to identify and resolve software defects and ensure software meets required standards before release.

Requirements

• Degree in Engineering, Computer Engineering, Computer Science, or similar field.
• Experience or understanding of applying AI/ML for test automation, such as using machine learning or natural language processing to generate test cases/scripts.
• Knowledge of software testing methodologies, including manual and automated testing.
• Familiarity with programming languages like Python, Java, or C++.
• Strong communication skills to explain complex AI concepts to various stakeholders.
• Proficiency in developing automated testing frameworks (e.g., Robot Framework) and writing robust automated test scripts.
• Hands-on experience with LLM APIs (e.g., OpenAI, Ollama) and a deep understanding of transformer architectures, attention mechanisms, and model capabilities.
• Experience with vector databases, embedding models for semantic search, and prompt engineering techniques.
• Strong knowledge of DevOps practices and MLOps, including model versioning, monitoring, and deployment.
• Able to collaborate effectively with cross-functional teams and lead testing teams or initiatives.

Qualifications

• Experience with AI/ML for test automation.
• Strong background in software testing methodologies.
• Programming proficiency in Python and other relevant languages.
• Effective communication skills for explaining complex concepts.
• Experience with automated testing frameworks and scripting.
• Hands-on experience with LLM APIs and related technologies.
• Understanding of DevOps and MLOps practices.
• Leadership and team management experience.

Skills

• Python development
• Robotic Framework
• Machine Learning (ML)
• Transformer Architectures
• Attention Mechanisms
• Embedding Models
• MLOps
• DevOps Practices
• LLM APIs (e.g., OpenAI, Ollama)
• Vector Databases
• Semantic Search
• Prompt Engineering

Benefits

Explore our benefits package, which includes:

• Flexible working arrangements
• Competitive compensation and benefits
• Professional development opportunities
• Health and wellness programs
• Employee recognition and awards

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time hybrid schedule available.