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Advanced Machine Learning Engineer
3 weeks ago
The selected candidate will play a pivotal role in the development of machine learning models, ensuring seamless integration with existing systems. Key responsibilities include collecting business requirements, preparing data sets, training, evaluating, and deploying ML models, as well as monitoring their performance and retraining models as needed.
Collaborative Work Environment- Collaborate with business stakeholders to clarify requirements, use cases, and business metrics.
- Work with data engineers to set up data pipelines and prepare data sets for model building.
- Partner with business domain experts to understand data and create features for model training.
- Design, build, and evaluate machine learning models.
- Communicate and explain models to business partners to secure adoption.
- 10+ years of industry experience in machine learning.
- Strong experience with machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, PyTorch, and MLlib.
- Excellent knowledge of major machine learning algorithms, including statistical regression and deep learning.
- Proven experience in training and evaluating ML models with proper pipelines and metrics.
- Proficiency in at least one programming language, preferably Python.
- Strong knowledge and hands-on experience with SQL and various database technologies.
Education: MS or PhD in Computer Science or a related field.
About the OpportunityThis is an excellent opportunity for a seasoned machine learning engineer to join our global music operations team. The ideal candidate will be responsible for developing and implementing machine learning solutions that drive business growth and improve user experience.
BenefitsWe offer competitive compensation, comprehensive benefits, and opportunities for professional growth and development.
Employment Details- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Engineering and Information Technology
- Industries: IT Services and IT Consulting