EY Service Delivery Center AI & Data Machine Learning Engineer MLE - Manager 

United States, Pennsylvania, Philadelphia 

368155401

Manager - Financial Services Organization – AI and Data - Service Delivery Center

Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Your key responsibilities

You will be working with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.

Skills and attributes for success

• 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
• Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology
• Leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing
• 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

To qualify for the role you must have

• A bachelor's or master’s degree in computer science, information systems, or related technology majors
• Minimum of 5 years of related work experience in AI/ML engineering or MLE/ML Ops
• Experience working with business, management, and technology concepts
• 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

Ideally, you’ll also have

• Certification in any database management system, reporting or data visualization, or programming/statistical language
• Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
• Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI
• Familiarity with cloud-based machine learning services like AWS SageMaker, Google AI Platform, or Azure Machine Learning

What we look for

We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

• Opportunities to develop new skills and progress your career
• Support and coaching from some of the most engaging and knowledgeable colleagues
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects