Recommendation System Expert

Were looking for a Recommendation System Expert (Senior ML Engineer Personalization & Recommender Systems) to join our core ML team and help shape the future of personalized content discovery. You will lead the design deployment and optimization of realtime recommender systems used by millions of users across our video streaming and tube platform. Your impact will be seen directly in engagement retention and revenue metrics.

What Youll Do

• Lead the design and productionization of recommender system models (collaborative contentbased hybrid sessionbased).
• Translate highlevel business objectives into machine learning solutions that drive impact.
• Prototype experiment with and deploy algorithms using stateoftheart tools and frameworks.
• Take ownership of endtoend model lifecycles from feature engineering to deployment and performance monitoring.
• Continuously evaluate and tune models using online (A/B testing bandits) and offline metrics.
• Work closely with product managers backend engineers and data scientists to improve personalization strategies.
• Scale model serving and experimentation infrastructure using modern MLOps practices.
• Mentor junior engineers and contribute to a strong ML culture in the team.
• Stay current with the latest research and help incorporate relevant innovations into production.

Qualifications :

• 5 years of handson experience in machine learning with a strong focus on recommendation systems personalization or ranking.
• MSc or PhD in Computer Science Machine Learning Applied Math or related field.
• Proven experience in building and deploying largescale recommender systems in production environments.
• Deep knowledge of:
  • TopN recommendation collaborative filtering (MF kNN SVD) contentbased filtering
  • Hybrid and sessionbased recommender systems
  • Evaluation metrics (e.g. MAP NDCG) AB testing design and interpretation
• Experience with deep learningbased recommender architectures:
  • TwoTower YouTube DNN DLRM DCNv2 DeepFM EASE/SANSA
• Familiarity with baseline algorithms (SR AR IKNN MF)
• Comfortable working with experimentation infrastructure (AB tests canary deployments MABs)
• Solid understanding of MLOps and model serving including:
  • Triton Inference Server BentoML KServe on Kubernetes Ray Serve
  • Monitoring (latency throughput data drift) autoscaling rolling updates
• Experience with online user embedding pipelines ANN search (e.g. Milvus) and feature stores
• Fluency in Python SQL Jupyter and at least one ML framework (TensorFlow PyTorch etc.
• Excellent communication skills and ability to collaborate across disciplines
• Passion for solving hard problems and delivering realworld impact

Additional Information :

What we offer you

• An exceptional compensation package along with relocation support to help you move to the Grand Duchy.
• Your health is our wealth: private health insurance and free gym membership.
• On top of the minimum 26 vacation days we also provide additional days the longer you work for us.
• We offer breakfast for our employees every day to help them begin the workday.
• The opportunity to see your work directly contribute to the success of the company.
• When you grow we grow: You have the chance to attend events meetups and other perks for your professional growth.
• Youre joining a family and you are going to look the part! We give out companybranded merchandise and clothes to every single new joiner.

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills abilities and experience. We thrive to attract and hire a strong talented and diverse workforce prohibiting discrimination based on race color religious or political beliefs age nationality physical mental or developmental disability gender sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or allinclusive listing of duties and responsibilities. Contents are subject to change at managements discretion. 

During the recruitment process candidates will be requested to provide with a recent criminal record extract for background screening purpose.

NOTE: Byborg Enterprises does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited and such submissions will not be recognized for purposes of ownership of the candidate.

Remote Work :

No

Employment Type :

Fulltime