
AI and Data - Machine Learning Engineer
Welcome to the future of work at Ernst & Young! As an AI and Data - Machine Learning Engineer, you will have the opportunity to utilize cutting-edge technology to drive impactful business solutions for our clients. We are seeking a highly skilled and driven individual who is passionate about all things data and has a strong understanding of machine learning techniques. Join our team and be at the forefront of shaping the future of AI and data-driven decision making. If you have a strong technical background, a passion for innovation, and a desire to make a real impact, we want to hear from you!
- Utilize your technical expertise to develop and implement machine learning algorithms for our clients.
- Stay up-to-date with the latest advancements in AI and data technologies, and recommend innovative solutions to meet client needs.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Conduct thorough data analysis and interpretation to identify patterns and trends that can be used to improve business processes.
- Design, build, and maintain scalable and efficient data pipelines to support machine learning models.
- Develop and maintain documentation and guidelines for machine learning processes and models.
- Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
- Continuously evaluate and improve the performance of machine learning models to ensure accuracy and efficiency.
- Collaborate with data engineers, data scientists, and other team members to ensure seamless integration of machine learning solutions.
- Participate in research and development of new machine learning techniques and tools to enhance our capabilities and stay ahead of industry trends.
- Take ownership of projects and deliver quality solutions within tight deadlines.
- Actively participate in team meetings and contribute to a positive and collaborative team culture.
- Mentor and provide guidance to junior team members to enhance their technical skills and knowledge.
- Adhere to company and industry best practices for data privacy and security.
- Represent the company in conferences and events related to AI and data to showcase our expertise and thought leadership in the field.
Strong Background In Computer Science: A Machine Learning Engineer At Ernst & Young Should Have A Solid Understanding Of Computer Science Fundamentals, Including Data Structures, Algorithms, And Programming Languages Such As Python, Java, Or C++.
Proficiency In Machine Learning And Data Analysis: Candidates Should Possess Advanced Knowledge Of Machine Learning Techniques And Algorithms, As Well As Experience In Data Manipulation And Analysis Using Tools Such As Tensorflow, Pytorch, Or Spark.
Experience With Ai Development Frameworks: Ey Looks For Candidates With Hands-On Experience In Ai Development Frameworks, Such As Keras, Scikit-Learn, Or Microsoft Azure Machine Learning, To Build And Deploy Ai Solutions.
Strong Mathematical And Statistical Skills: A Machine Learning Engineer At Ey Should Have A Strong Foundation In Mathematics And Statistics, Including Linear Algebra, Calculus, And Probability Theory, To Develop And Validate Machine Learning Models.
Communication And Teamwork Skills: As Part Of Their Role, Machine Learning Engineers At Ey Work Closely With Cross-Functional Teams, Including Data Scientists, Business Analysts, And Project Managers. Strong Communication And Teamwork Skills Are Essential For Collaborating And Delivering Successful Ai Projects.
Data Analysis
Deep Learning
Computer Vision
Data Visualization
Natural language processing
Algorithm development
Statistical modeling
Predictive modeling
Big Data management
Programming Languages
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI and Data - Machine Learning Engineer in Atlanta, GA, USA is $95,000 - $150,000 per year. However, this can vary depending on the individual's qualifications, experience, and the specific company they work for. Additionally, location, industry, and demand for AI and data professionals can also impact salary ranges.
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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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