AI and Data - Machine Learning Engineer
Welcome to the world of AI and Data at Ernst & Young, where we are constantly pushing the boundaries of technology and innovation. As a Machine Learning Engineer, you will be at the forefront of developing and implementing cutting-edge AI solutions that will transform the way we do business and help our clients stay ahead in a rapidly evolving digital landscape. We are looking for a highly skilled and driven individual who is passionate about leveraging data to drive real-world impact. If you are ready to take on complex challenges, collaborate with a diverse team, and shape the future of AI, then we want you on our team.
- Develop and implement cutting-edge AI solutions: Design, build, and deploy machine learning models and algorithms to solve complex business problems and drive innovation.
- Collaborate with a diverse team: Work closely with data scientists, engineers, and business stakeholders to understand business needs and translate them into technical requirements.
- Conduct research and stay up-to-date on the latest AI and data trends: Continuously learn and explore new techniques, algorithms, and tools to improve the effectiveness and efficiency of our AI solutions.
- Ensure data accuracy and quality: Develop and implement processes to clean, transform, and validate data to ensure high-quality inputs for machine learning models.
- Deploy and monitor AI solutions: Design and implement processes for deploying and monitoring machine learning models in production environments to ensure accurate and timely results.
- Communicate complex technical concepts to non-technical stakeholders: Clearly and effectively communicate the value and impact of AI solutions to clients and other stakeholders.
- Identify and troubleshoot technical issues: Identify and resolve technical issues that may arise during the development, deployment, or monitoring of AI solutions.
- Collaborate with clients to understand their business needs: Work closely with clients to understand their specific business challenges and develop customized AI solutions to address their needs.
- Stay compliant with data privacy and security regulations: Ensure that all AI solutions and data processes are compliant with relevant data privacy and security regulations.
- Mentor and train junior team members: Share knowledge and best practices with junior team members to help them develop their skills and capabilities in machine learning and AI.
Strong Understanding Of Machine Learning Techniques And Algorithms: The Ai And Data - Machine Learning Engineer At Ernst & Young/ Ey Should Possess A Deep Understanding Of Various Machine Learning Techniques Such As Regression, Decision Trees, Neural Networks, Etc. They Should Also Be Familiar With The Latest Advancements In The Field.
Proficiency In Programming Languages And Tools: The Ideal Candidate Should Have A Strong Programming Background And Be Proficient In Languages Such As Python, R, And Java. They Should Also Have Experience Using Tools Such As Tensorflow, Keras, And Pytorch.
Data Analysis And Visualization Skills: The Role Requires The Candidate To Have Excellent Data Analysis And Visualization Skills. They Should Be Able To Extract Insights From Large Datasets And Present Them In A Visually Appealing Manner.
Experience With Cloud Computing And Big Data Technologies: As A Part Of Their Job, The Ai And Data - Machine Learning Engineer Will Be Working With Large Amounts Of Data. Therefore, They Should Have Experience With Cloud Computing Platforms Such As Aws And Azure, As Well As Big Data Technologies Like Hadoop And Spark.
Strong Problem-Solving And Critical Thinking Abilities: The Candidate Should Possess Strong Problem-Solving Skills And Be Able To Think Critically. They Should Be Able To Identify And Address Complex Business Problems Using Advanced Machine Learning Techniques. Additionally, They Should Be Able To Adapt To New Technologies And Approaches Quickly.
Data Analysis
Machine Learning
Deep Learning
Data Visualization
Cloud Computing
Natural language processing
Algorithm development
Statistical modeling
Predictive modeling
Programming Languages
Ai Development
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Multitasking
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI and Data - Machine Learning Engineer in Hoboken, NJ, USA is $105,000 - $150,000 per year. This can vary depending on factors such as experience, skills, and the specific company or industry the engineer is working in.
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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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