Machine Learning Scientist

Responsibilities

• Improve the performance of our machine learning models.
• Continuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancement.
• Collaborate with a team of researchers and engineers to design, implement and maintain innovative solutions to complex problems.
• Reduce the training and inference time of our ML pipeline.
• Drive projects and lead new initiatives in MLOps.

Qualifications

• Masters or PhD degree in Computer Science, a related field, or equivalent practical experience.
• Applied research experience with a successful track record of delivering quality results.
• Extensive expertise in machine learning, with in-depth, hands-on experience in reinforcement learning or game theory.
• Exceptional communication, cross discipline collaboration and leadership skills.
• Passion for games and how intelligent systems can teach humans problem solving skills.

ATS Optimization Keywords

• machine learning
• reinforcement learning
• game theory
• MLOps
• model performance enhancement
• monitoring tools
• ML pipeline optimization
• applied research
• data analysis
• algorithm development

Soft Skills

• communication
• cross discipline collaboration
• leadership
• problem solving
• team collaboration
• project management
• innovation
• critical thinking
• adaptability
• creativity

Certifications & Qualifications

• Masters degree
• PhD degree