Machine Learning Engineer
New
S
Swish AnalyticsSports Analytics
United StatesFull-TimeSenior
SalaryUSD 160000 - 160000 / year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLETLKubernetesMachine LearningMySQLRustCI/CD
Requirements
- Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area.
- 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs.
- Proven background in quantitative analytics, trading, or engineering.
- Demonstrated experience developing data science modeling systems and infrastructure at scale.
- Experience with Python and exposure to modern machine learning frameworks.
- Proficient in SQL; experience with MySQL.
- Background and/or interest in Rust preferred.
- Affinity for teamwork and collaboration with others.
- Strong communication skills when discussing technical concepts.
Responsibilities
- Design, prototype, implement, evaluate, and optimize systems to generate sports datasets and predictions with high accuracy and low latency.
- Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
- Build, test, deploy and maintain production systems.
- Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
- Support maintenance and optimization of cloud-native EDW and ETL solutions.
- Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
- Apply large scale data processing techniques to develop scalable and innovative sports betting products.
- Participate in development of database structures that fit into the overall architecture of Swish systems.
View Full Description & ApplyYou'll be redirected to the employer's site
