AI\ML Architect

LSports

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משרה מלאה

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LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.If you’re passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data – We are looking for a talented AI\ML Architect.What You’ll Do:

Architect, build, and scale production-grade data pipelines and services.
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.
Take ownership of significant projects, guiding them from inception through to successful deployment.

Life at LSports:We’re honest with each other and open to new ideas. We challenge ourselves to excel, knowing that good relationships never come at the expense of professionalism. We’re dynamic, always growing and improving to stay on top.Come join a team that’s all about winning together, with integrity and heart.All the Extras You Deserve:

Health insurance
Professional development with skills-based courses & Udemy account
Hybrid work model (Wallaballa)
Cibus
Birthday day off
Access to ‘Group Hug’ platform
Fun company and team social events
Dog-friendly policy
Kids Summer Camp

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.
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.
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.

Bonus Points If you have:

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)

LSports