Machine Learning Engineer

Description

WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You'll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. At WSC Sports, you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that's just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

WSC Sports is seeking a Machine Learning Engineer with a passion for developing production-grade software services and solving intriguing problems using Large Language Models (LLMs), data, and creative thinking. Join us in creating our next-generation automatic sports video content engine. If you're enthusiastic about cutting-edge NLP and Generative AI development, we want you!

As a Machine Learning Engineer, you'll tackle complex business challenges using state-of-the-art NLP models in areas such as text generation, text classification, question answering, information retrieval, and more. You will collaborate closely with engineers, scientists, and product managers to make WSC Sports’ language platform the best in its class.

What you’ll do:

• Design and develop the engineering infrastructure to support all ML-related activities
• Work closely with Data Scientists and other stakeholders to define the ML system requirements for experimentation and production
• Define internal quality processes in the team, including code reviews, testing methodologies, and deployment processes
• Work on various tasks: architecture and design, coding, monitoring, working with cloud services, and working closely with MLOps
• Continuously explore new tools and practices in the ML and cloud processing world that can be harnessed for our mission to build a smooth ML development and serving pipeline
• Identify improvement opportunities, such as automating manual processes and cost-reduction opportunities

Requirements

What you’ll need:

• B.Sc. in Computer Science/Electrical Engineering/related field from a well-known university
• 3+ years of Production-grade Python coding experience
• 3+ years of experience in designing, developing, and deploying data pipelines and machine learning models in production at scale
• Experience as an ML/NLP engineer with modern ML frameworks like PyTorch and/or LLM APIs like OpenAI’s GPT
• Experience with Cloud technologies (Azure / GCP / AWS)
• Advantage: Experience with Generative AI (e.g. LLMs)
• Advantage: familiar with ML tools such as W&B or ClearML
• Comfortable working in a fast-paced, dynamic work environment
• An excellent team player, dependable, gets the job done