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
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