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We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.
Job Responsibility:
Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI
Create and manage the AI development and production infrastructure to support the AI initiatives
Design, develop, and implement AI solutions to solve complex problems in various domains
Automate AI infrastructures for the data science and platform teams
Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation
Transform machine learning models into APIs that can be integrated with other applications
Collaborate across teams to help with AI adoption and best practices
Analyze and optimize AI solutions for performance and scalability
Stay up to date with the latest advancements in AI research and technologies
Participate in code and design reviews to maintain a high-quality codebase
Communicate effectively with team members and stakeholders to ensure project success
Requirements:
Bachelor’s or master’s degree in computer science, Engineering, or a related field
2 - 4 years of experience in AI, machine learning, or deep learning
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot)
Solid understanding of AI models, neural networks, and machine learning concepts
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language)
Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
Excellent problem-solving, analytical, and communication skills
Ability to work independently and as part of a team
Understanding of Agile methodology and SAFe Agile is appreciated
Nice to have:
Experience with natural language processing (NLP) and computer vision is a plus
Azure certification, such as Azure AI Engineer Associate, is a plus