Machine Learning Engineer at LSports

Ashkelon, South District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, PyTorch, Scikit-learn, Algorithms, Data Structures, Statistical Modeling, SQL, NoSQL, Databricks, Risk AI, Fraud AI, MLOps, Kafka, GenAI

Industry

IT Services and IT Consulting

Description

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 Machine Learning Engineer. About the team: Trade360 Trade360 group is the powerhouse behind LSports' exceptional portfolio of customer-facing products, blending innovation, functionality, and user experience to deliver industry-leading solutions that redefine customer engagement and satisfaction. Responsibilities: Lead the design and implementation of advanced machine learning algorithms to solve complex problems in a customer facing environment. Collaborate closely with data engineers, product managers and domain experts to operationalize machine learning models into production. Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements. Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence. Requirements 5+ years of experience in machine learning or data science, with a proven track record of deploying machine learning models into production. Proficiency in Python and machine learning frameworks like PyTorch, or scikit-learn. Strong understanding of algorithms, data structures, and statistical modeling techniques. Product oriented - proven experience with ML PoCs / MVP from ideation to execution. Experience with SQL and NoSQL Databases. Experience with Databricks or similar. Proven experience in Risk and Fraud AI products. Advantages MLOps experience. Experience with Kafka. Experience with building GenAI applications. 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 Hybrid work model (Wallaballa) Cibus Birthday day off Access to ‘Group Hug’ platform Fun company and team social events Kids Summer Camp

Responsibilities

Lead the design and implementation of advanced machine learning algorithms to solve complex problems in a customer-facing environment. Collaborate closely with data engineers, product managers, and domain experts to operationalize machine learning models into production.