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