EY is seeking a Machine Learning Engineer (MLE) Manager to join their Financial Services Organization – AI and Data - Service Delivery Center. The role involves working with diverse teams to deliver AI and data services, and requires a bachelor's or master's degree in computer science or related field, 5 years of related work experience, and proficiency in Python programming and associated machine learning libraries.
Requirements
- Collaborating, mentoring, and coaching teams with diverse skills and backgrounds
- Fostering an innovative and inclusive team-oriented work environment
- Being accountable for the success of your team and the project's components
- Building strong relationships with your internal clients
- Great communication and influencing skills
- Designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines
- Helping clients make data-driven decisions by working with structured and unstructured data sets and building out predictive models
- Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets
- Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.)
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions
- Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence
- Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment
- Good written and verbal communication skills
- A willingness and ability to travel at 0%-25%
- Valid driver's license in the US
- Valid passport
Benefits
- Competitive compensation package
- Total Rewards package includes medical and dental coverage, pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days
- Paid time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
- Opportunities to develop new skills and progress your career
- Support and coaching from engaging and knowledgeable colleagues
- Collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects
