Senior Machine Learning Engineer

Senior Machine Learning Engineer

Requirements

• A MASTER’S DEGREE (OR FOREIGN EQUIVALENT) IN APPLIED ANALYTICS OR A CLOSELY RELATED FIELD PLUS 2 YEARS OF WORK EXPERIENCE AS A DATA SCIENTIST/ENGINEER, DATA ENGINEER/SCIENTIST, OR A RELATED OCCUPATION.
• Experience with Machine Learning projects implementation from conception to deployment using Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn and deep learning)
• UI design, web optimization and Machine Learning model integration using Perl, HTML, CSS, JavaScript (as Data Scientist/Engineer, Data Engineer/Scientist, or a related occupation in the digital advertising field).
• Strong knowledge of Machine Learning algorithms (reinforcement learning, ensemble methods and clustering), programming language (Python, SQL, Perl), natural language processing.

Responsibilities

• Design advanced Machine Learning algorithms and conduct statistical analyses using large-scale datasets for purposes such as ad targeting, bidding optimization, and audience segmentation.
• Enhance system performance and accuracy through rigorous data analysis across marketing, transactional, and engineering datasets.
• Engage with leadership and various departments to align Machine Learning projects with organizational goals.
• Collaborate closely with software development teams to integrate new systems smoothly into existing platforms and workflows.
• Provide expertise in Machine Learning and data science, guiding internal teams and external clients. Explore new technologies and methodologies to advance our capabilities and maintain technological leadership.
• Lead initiatives from conception through execution, ensuring projects adhere to timelines and quality standards.
• Foster a culture of innovation and continuous improvement within the team.

Preferred Qualifications

No preferred qualifications provided.