Lead Architect

Area(s) of responsibility

We are seeking a highly skilled and experienced AI Test Subject Matter Expert (SME) with 15-25 yrs experience to join our dynamic team. The AI Test SME will be responsible for designing, developing, and implementing testing methods and equipment for our AI systems.

Responsibilities & Required Skills

• Develop and implement AI testing strategies and plans.
• Collaborate with the development team to understand AI models and features for effective testing.
• Identify, analyze, and document problems with program function, output, or content.
• Provide technical guidance and educate team members and coworkers on AI testing and its implementation.

• Proficiency in AI, Machine Learning, and Deep Learning concepts.
• Strong knowledge of Python, R, or other programming languages.
• Experience with AI testing tools and methodologies.
• The candidate must possess a Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, with a Master's degree or Ph.D. preferred.

Preferred Skills

• Familiarity with Natural Language Processing (NLP).
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools such as Tableau or Power BI.
• Understanding of Big Data technologies like Hadoop, Spark, or Hive.
• Experience with AI frameworks like TensorFlow, Keras, or PyTorch.

Essential job tasks

We are seeking a highly skilled and experienced AI Test Subject Matter Expert (SME) with 15-25 yrs experience to join our dynamic team. The AI Test SME will be responsible for designing, developing, and implementing testing methods and equipment for our AI systems.

Responsibilities & Required Skills

• Develop and implement AI testing strategies and plans.
• Collaborate with the development team to understand AI models and features for effective testing.
• Identify, analyze, and document problems with program function, output, or content.
• Provide technical guidance and educate team members and coworkers on AI testing and its implementation.

• Proficiency in AI, Machine Learning, and Deep Learning concepts.
• Strong knowledge of Python, R, or other programming languages.
• Experience with AI testing tools and methodologies.
• The candidate must possess a Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, with a Master's degree or Ph.D. preferred.

Preferred Skills

• Familiarity with Natural Language Processing (NLP).
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools such as Tableau or Power BI.
• Understanding of Big Data technologies like Hadoop, Spark, or Hive.
• Experience with AI frameworks like TensorFlow, Keras, or PyTorch.