Sr. AI Applications Engineer (OpenAI) - NBC Sports Next

Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

NBC Sports Next is where sports and technology intersect. We’re a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our two groups: Youth & Recreational Sports and Golf. 

At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; SportsEngine Motion, sports and fitness business software solutions.

Come join us as we work together as one team to innovate and deliver what’s Next.  

Job Description

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.

Qualifications

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.

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