
AI and Data - Machine Learning Engineer
Welcome to Ernst & Young/ EY, a global leader in professional services and a pioneer in the world of AI and data. As our company continues to embrace cutting-edge technologies, we are seeking a highly skilled Machine Learning Engineer to join our team and drive innovation in this field. In this role, you will have the opportunity to work with a diverse group of professionals and be at the forefront of revolutionizing the way we use data and AI to solve complex business challenges. We are looking for a passionate and experienced individual with a strong background in machine learning and a desire to make a real impact in the world of data-driven solutions. Are you ready to take on this exciting opportunity and be a part of our dynamic team? Read on to learn more about the qualifications and responsibilities for this role.
- Conduct research and develop innovative machine learning algorithms and models to solve complex business challenges
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI and data-driven solutions
- Implement and deploy machine learning models into production environments
- Continuously evaluate and improve the performance of existing machine learning models
- Stay up-to-date with the latest advancements in machine learning and AI technologies and techniques
- Communicate complex technical concepts and findings to non-technical stakeholders
- Mentor and train junior team members on machine learning concepts and best practices
- Ensure compliance with data privacy and security regulations in all machine learning projects
- Participate in the development and maintenance of machine learning pipelines and infrastructure
- Act as a subject matter expert in machine learning for the company and provide guidance and recommendations to stakeholders
Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.
Strong Understanding Of Machine Learning Algorithms And Techniques, Such As Regression, Classification, And Clustering.
Proficiency In Programming Languages Commonly Used In Data Science, Such As Python, R, Or Java.
Experience Working With Large Datasets And Data Manipulation Tools, Such As Sql, Hadoop, Or Spark.
Strong Analytical And Problem-Solving Skills, With The Ability To Think Critically And Creatively To Solve Complex Data-Related Challenges.
Data Analysis
statistical analysis
Deep Learning
Data Visualization
Natural language processing
Data Mining
Machine learning algorithms
Predictive modeling
Big Data management
Neural Networks
Programming Languages (
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI and Data - Machine Learning Engineer in Philadelphia, PA, USA is between $120,000 - $150,000 per year. However, this can vary depending on factors such as level of experience, company size, and industry. Additionally, location can also play a role in salary range, as cities with a higher cost of living may offer higher salaries.
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EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

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