Manager of Artificial Intelligence

Consultz is supporting our client, a well-renowned SWF in the region, in their search for Manager of Artificial Intelligence.

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

Key Accountabilities

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization's AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development including reproducibility, testing, and code quality standards.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field with a minimum of 5 years of experience as an AI Developer with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, and performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.