
Machine Learning Engineer
Are you passionate about using cutting-edge technology to drive business growth and enhance customer experiences? Look no further, because Urban Outfitters is seeking a highly skilled Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will have the opportunity to work on a variety of projects and drive innovation in the retail industry. We are looking for someone who is eager to take on new challenges, has a strong background in machine learning and data science, and is committed to delivering high-quality solutions. If this sounds like you, we would love to have you on board!
- Develop and implement machine learning models and algorithms to improve business processes and customer experiences.
- Collaborate with cross-functional teams to identify business needs and opportunities for implementing machine learning solutions.
- Conduct thorough data analysis and preprocessing to ensure high-quality input for machine learning models.
- Stay updated on the latest advancements in machine learning and data science and apply them to projects.
- Optimize and fine-tune existing machine learning models to improve performance and efficiency.
- Communicate complex technical concepts to non-technical stakeholders and collaborate with them to identify potential use cases for machine learning.
- Work closely with data engineers and software developers to integrate machine learning models into production systems.
- Monitor and evaluate the performance of machine learning models in real-time and make necessary adjustments to ensure accuracy and effectiveness.
- Ensure compliance with data privacy and security regulations in all machine learning projects.
- Continuously identify and suggest improvements to existing machine learning processes and workflows.
- Conduct research and experiments to explore new machine learning techniques and tools that could benefit the organization.
- Mentor and guide junior machine learning engineers and data scientists in the team.
Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.
Strong Understanding Of Machine Learning Techniques And Algorithms, Such As Regression, Classification, Clustering, And Deep Learning.
Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Data Manipulation And Analysis.
Experience With Machine Learning Frameworks And Libraries, Such As Tensorflow, Pytorch, And Scikit-Learn.
Strong Problem-Solving And Critical Thinking Skills, With The Ability To Apply Machine Learning Concepts To Real-World Business Problems.
Data Analysis
Deep Learning
Computer Vision
Data Visualization
Natural language processing
Algorithm development
Statistical modeling
Predictive modeling
feature engineering
Big Data management
Model Evaluation
Communication
Conflict Resolution
Customer Service
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer in Philadelphia, PA, USA is $100,000-$130,000 per year. This can vary depending on the individual's level of experience, education, and the specific company they are working for. Some companies may offer higher salaries for candidates with specialized skills or a strong track record in the field. Additionally, bonuses and other benefits may also be included in the overall compensation package.
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Urban Outfitters, Inc. is a multinational lifestyle retail corporation headquartered in Philadelphia, Pennsylvania. It operates in the United States, Sweden, United Kingdom, Spain, Denmark, France, Germany, Ireland, Belgium, Canada, Italy, the Netherlands, Israel and Pakistan.

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