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Machine Learning Architect

TechnologyRamat Gan, IL

About The Position

About LSports: 

LSports is a global leader in sports data, committed to revolutionizing the industry with innovative and innovative solutions. We excel in sports data collection, analysis, advanced data management, and offer state-of-the-art services like AI-based sports tips and high-quality sports visualization. As the sports data industry evolves, LSports remains at the forefront, providing real-time solutions. If you have a passion for sports, technology, and the ambition to drive forward the sports-tech and data industries, we invite you to join our dynamic team. 

Role Overview: 

We are seeking a highly skilled and experienced Machine Learning Architect to join our Innovation team, a unit at the forefront of technological advancement in sports data analytics. This role demands expertise in designing and implementing comprehensive machine learning systems, with a strong foundation in developing complex algorithms, data modeling, and predictive analytics. You will manage the entire lifecycle of machine learning development, from ideation with stakeholders to the deployment of scalable models in production settings. By integrating strategy, research, and product development, you will play a pivotal role in transforming visionary ideas into industry-leading solutions, securing LSports' position as a pioneer in the sports-tech landscape. 


  • Develop and implement machine learning systems, overseeing the complete lifecycle from conceptualization to deployment. 
  • Collaborate with internal teams and external partners to deliver innovative solutions that enhance LSports' market leadership. 
  • Architect, build, and scale production-grade data pipelines and services. 
  • Take ownership of significant projects, guiding them from inception through to successful deployment. 


  • At least 5 years of industry experience, with a bachelor's degree or higher in Computer Science, Information Systems, or a related technical field, or equivalent experience. 
  • Demonstrated experience with large language models (LLMs) and a strong background in Natural Language Processing (NLP) and Machine Learning models, including deployment, monitoring, and performance evaluation. 
  • Proven ability to thrive in a fast-paced, high-pressure environment, with impeccable attention to detail and a strong decision-making and problem-solving skill set. 
  • Excellent communication skills, capable of effectively articulating technical concepts to both technical and non-technical stakeholders. 
  • Familiarity with the software development life cycle and Agile methodologies. 
  • 3+ years of experience in delivering production-grade data pipelines and backend services. 
  • Expertise in data pipeline construction, distributed architectures, SQL and NoSQL databases, and data lake/warehouse design and implementation. 
  • Knowledge of modern CI environments (e.g., Git, Docker, Kubernetes), ETL tools (e.g., AWS Glue, Apache Airflow), and messaging systems (e.g., Kafka, RabbitMQ) is highly desirable. 

Why Join Us? 

At LSports, you will be part of an organization that values innovation, collaboration, and the pursuit of excellence in the fast-evolving domain of sports data analytics. You will have the opportunity to work on groundbreaking projects, leverage innovative technologies, and contribute to solutions that redefine industry standards. Join us to be a part of a team that is shaping the future of sports-tech. 



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