Machine Learning Engineer at LSports

Ashkelon, South District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

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, MLOps, Kafka, GenAI Applications

Industry

IT Services and IT Consulting

Description

LSports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions. If you share our passion for sports and technology and have the drive to advance the sports-tech and data industries, we invite you to join our team! If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated ML Engineer. 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. Advantages Experience with large-scale public web data collection and ingestion pipelines. 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 • Hybrid work model • Work From Anywhere – up to 30 days a year • Extended parental leave for both mothers and fathers • Quarterly recharge days – company-wide shutdown to fully unplug • Health insurance • Professional development budget & skills-based courses • Birthday day off And yes — we also care about the little things: • Cibus • Holiday eves off • Team & company social events • Dog-friendly office • Kids summer camp • Access to the Group Hug wellbeing platform

Responsibilities

The Machine Learning Engineer will lead the design and implementation of advanced machine learning algorithms to solve complex problems in a customer-facing environment. They will collaborate with data engineers, product managers, and domain experts to operationalize machine learning models into production.