Sr. AI Applications Engineer

JOB SUMMARY: As an Sr. AI Applications Engineer you will be in a crucial role in building, developing, implementing, and optimizing AI solutions to address complex business opportunities. The ideal candidate will have a strong background in artificial intelligence, machine learning, and experience with OpenAI technology, with a preference for familiarity with Azure OpenAI services.

KEY RESPONSIBILITIES:

• Collaborate with cross-functional teams to understand business requirements and design effective AI solutions that impact key business outcomes.
• Develop and implement machine learning models using OpenAI technologies, with a focus on natural language processing and reinforcement learning.
• Utilize expertise in vectorization and embeddings for efficient data representation and retrieval in machine learning models.
• Deploy and manage models within cloud platforms, particularly Azure.
• Stay updated with the latest advancements in AI and drive the adoption of innovative technologies within the organization.
• Troubleshoot and optimize existing AI models for improved efficiency and accuracy.
• Work with data scientists and software engineers to integrate AI solutions into existing systems and applications.

Requirements

All candidates must meet the qualifications below:

• BS or MS degree in Computer Science, Artificial Intelligence, or a related technical field, or equivalent experience.
• Professional experience with OpenAI technologies, focusing on natural language processing, reinforcement learning, and expertise in vectorization and embeddings.
• Familiarity with Azure OpenAI services and a strong understanding of cloud platforms.
• 2+ years of professional experience with programming languages such as Python and experience with frameworks like TensorFlow and PyTorch.
• Solid understanding of machine learning concepts, algorithms, and model deployment best practices.
• Strong problem-solving and analytical skills, with the ability to adapt to evolving project requirements.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

PREFERRED QUALIFICATIONS:

• Experience deploying and managing AI models in a cloud environment, especially on Azure.
• Knowledge of containerization technologies such as Docker and container orchestration tools like Kubernetes.

Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.