Machine Learning Engineer
1 week ago
We are a leading data analytics company in the entertainment industry, recognized for our innovative solutions and commitment to driving innovation. Our mission is to deliver advanced analytics that support data-driven decisions, enabling us to better understand and respond to supply and demand in the ticketing world.
Job SummaryWe are seeking an experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data engineering, and statistical analysis. You will be responsible for designing and implementing machine learning models, managing data pipelines, optimizing and improving existing models, and collaborating with cross-functional teams to integrate machine learning solutions into our products.
Key Responsibilities:- Design and Develop Machine Learning Models: Design, develop, and deploy machine learning models and algorithms to drive business growth and improve decision-making.
- Analyze and Process Large Datasets: Analyze and process large datasets to extract meaningful insights and inform business decisions.
- Manage Data Pipelines: Manage and maintain data pipelines to ensure data quality and availability, and optimize data processing for improved performance.
- Collaborate with Cross-Functional Teams: Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products and drive business outcomes.
- Optimize and Improve Existing Models: Continuously improve and optimize existing models for better performance and scalability, and conduct experiments to evaluate model performance and iterate based on findings.
- Document Model Development Processes: Document model development processes, methodologies, and performance metrics to ensure reproducibility and knowledge sharing.
- Implement and Manage Model Deployment: Implement and manage model deployment in production environments, and monitor and troubleshoot model performance in real-time production systems.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience: Proven experience as a Machine Learning Engineer or similar role, with a strong background in machine learning, data engineering, and statistical analysis.
- Skills: Proficiency in programming languages such as Python, R, or Java, and strong understanding of data structures, algorithms, and statistical methods.
- Tools and Technologies: Experience with data preprocessing, feature engineering, and model evaluation, and proficiency in managing data pipelines and using ETL tools (e.g., Alteryx, Talend, Informatica).
- Cloud Platforms: Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLops tools.
- Soft Skills: Excellent problem-solving skills, attention to detail, and strong communication and teamwork abilities.
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