Overview
USD 50.00 - 60.00 per hour
Full Time
Skills
User Experience
Media
Music
Video
Collaboration
Use Cases
scikit-learn
Pandas
NumPy
PyTorch
Algorithms
Regression Analysis
Deep Learning
Machine Learning (ML)
Python
SQL
Database
Communication
Computer Science
Information Technology
Privacy
Finance
Credit Cards
Banking
Onboarding
Payroll
Training
Job Details
Position: Machine Learning Engineer
Location: Dublin, Dublin
Job Overview:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our global music operations team. The ideal candidate will be responsible for collecting business requirements, preparing data sets, training, evaluating, and deploying Machine Learning (ML) models, as well as monitoring their performance and retraining models as needed. This role focuses on improving the user experience in the media domain, including music, video, and images.
Responsibilities:
Qualifications:
Education: MS or PhD in Computer Science or a related field.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
Pay Range: $50/hr - $60/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1
Location: Dublin, Dublin
Job Overview:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our global music operations team. The ideal candidate will be responsible for collecting business requirements, preparing data sets, training, evaluating, and deploying Machine Learning (ML) models, as well as monitoring their performance and retraining models as needed. This role focuses on improving the user experience in the media domain, including music, video, and images.
Responsibilities:
- 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.
- Work with the SRE team to deploy models for inference and monitor their performance.
- Retrain models as needed to ensure optimal performance.
- Communicate and explain models to business partners to secure adoption.
Qualifications:
- 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.
- Excellent written and verbal communication skills.
Education: MS or PhD in Computer Science or a related field.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
- Pay any fee to be considered for, submitted to, or selected for any opportunity.
- Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
- Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $50/hr - $60/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.