Job Duties:
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
Job Requirements:
· Bachelor’s degree in computer science, Engineering, or a related field.
· Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.
· Strong programming skills in languages such as Python and/or Java.
· Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.
· Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.
· Solid understanding of machine learning algorithms and deep learning frameworks.
· Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
· Strong problem-solving and analytical skills.
· Excellent communication and collaboration abilities.
· Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications:
· Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.
· Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.
· Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.
· Knowledge of containerization technologies such as Docker and Kubernetes.
· Familiarity with DevOps practices and tools for CI/CD pipelines.
· Contributions to open-source GenAI or cloud service integration projects.
