AI and Data - Machine Learning Engineer

Welcome to EY, where we are constantly pushing the boundaries of innovation and technology to drive business growth and success. We are currently seeking a highly skilled and motivated AI and Data - Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a crucial role in designing, developing and implementing cutting-edge AI and data solutions for our clients. This is an exciting opportunity to be at the forefront of the rapidly evolving world of AI and data, and to work with some of the most talented professionals in the industry. We are looking for individuals who possess a strong passion for technology, exceptional problem-solving skills, and a desire to continuously learn and grow. If you are someone who thrives in a dynamic and fast-paced environment, and is looking to make a significant impact in the world of AI and data, then we want to hear from you.

1. Design and develop innovative AI and data solutions for clients, staying up-to-date with the latest advancements in technology and industry trends.
2. Collaborate with cross-functional teams to identify business needs and develop effective solutions using machine learning techniques.
3. Implement machine learning algorithms and models to analyze and extract insights from large datasets.
4. Perform data cleaning, preprocessing, and feature engineering to ensure accuracy and reliability of models.
5. Continuously evaluate and improve the performance of existing models and algorithms.
6. Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Stay current with emerging tools and technologies in the field of AI and data, and proactively make recommendations for their adoption.
8. Provide guidance and support to junior team members on best practices and techniques for machine learning.
9. Collaborate with clients to understand their business needs and tailor solutions accordingly.
10. Maintain high standards of quality and adhere to project timelines.
11. Conduct research and experiments to explore new approaches and techniques for solving complex business problems.
12. Act as a subject matter expert in the areas of AI and data, and participate in conferences and events to showcase EY's capabilities and expertise.
13. Foster a culture of continuous learning and development within the team, and actively mentor and coach team members.
14. Adhere to ethical and legal standards in data handling and model development.
15. Represent EY as a leader in AI and data by actively engaging in thought leadership activities.

According to JobzMall, the average salary range for a AI and Data - Machine Learning Engineer in Dallas, TX, USA is $100,000 - $150,000 per year. However, this can vary depending on factors such as experience, company, and specific job responsibilities.

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.