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.
NBCUniversal
We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences.
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