Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior Tampa

Senior Machine Learning Engineer

EY is the only professional services firm with a separate business unit (FSO) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients. If you have a passion for rallying together to solve the most complex challenges in the financial services industry come join our dynamic FSO team!

The opportunity

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. Youll 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 youll 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

Candidate should possess deep hands-on expertise in designing building and deploying scalable machine learning systems including advanced NLP and Generative AI (LLM) solutions. This position demands strong technical leadership a quick learning ability a proven track record in delivering high-value production-grade AI solutions and the capacity to mentor junior engineers.

Key Responsibilities

• ML System Design & Architecture: Lead the design and architecture of robust scalable and high-performance machine learning systems ensuring seamless integration with existing platforms.
• Production ML Model Deployment: Own the end-to-end lifecycle of deploying and operationalizing machine learning models in production environments ensuring efficiency reliability and maintainability.
• Advanced AI/ML Engineering: Develop optimize and implement advanced machine learning algorithms and statistical models focusing on engineering best practices for performance and scalability.
• Generative AI & NLP System Development: Engineer and integrate cutting-edge Generative AI (LLM) and Natural Language Processing (NLP) solutions. This includes designing efficient prompting strategies developing LLM-based data augmentation techniques and implementing Retrieval-Augmented Generation (RAG including advanced RAG) to enhance model capabilities within production systems.
• Deep Learning Infrastructure: Design and build systems to effectively apply and deploy deep learning techniques (ANN LSTM CNN BERT XLNet Transformers neural & LLM-based embeddings) for state-of-the-art AI applications at scale.
• MLOps & Automation: Establish and implement MLOps practices including CI/CD pipelines automated testing monitoring and retraining strategies for ML models to ensure continuous improvement and stability.
• Performance Optimization: Optimize ML models and underlying infrastructure for computational efficiency speed and resource utilization.
• Technical Leadership & Mentorship: Drive technical excellence promote best coding practices perform code reviews and provide mentorship to junior engineers.
• Cross-Functional Collaboration: Partner closely with data scientists product managers and other engineering teams to translate complex business requirements into technical ML solutions and ensure successful delivery.
• Risk Management & Compliance: Integrate risk assessment and compliance considerations into ML system design and deployment ensuring adherence to applicable laws regulations and internal policies to safeguard the firms reputation and assets.

Qualifications

• Experience:
• 8 years of hands-on experience in Machine Learning Engineering MLOps or AI system development.
• Minimum of 2 years of direct experience in engineering and deploying Generative AI/LLM solutions in production.
• Technical Skills:
• Deep proficiency in Python for production-grade ML development with expertise in relevant libraries (scikit-learn pandas SpaCy TensorFlow PyTorch Hugging Face Transformers).
• Strong experience with PySpark for large-scale data processing and building robust data pipelines.
• Proficiency in big data frameworks (Hadoop Spark Hive Hue) and experience with streaming technologies.
• Extensive experience with MLOps tools and practices (e.g. Docker Kubernetes MLflow Airflow CI/CD for ML).
• Proven experience in designing implementing and deploying NLP and deep learning models to production.
• Hands-on experience with Generative AI development including engineering prompting strategies RAG implementation and LLM fine-tuning and integration (e.g. Langchain LlamaIndex).
• Familiarity with cloud platforms (AWS Azure GCP) and their ML services.
• Good to have: Experience with graph neural networks graph databases or distributed systems for ML.
• System Design & Architecture: Demonstrated ability to design scalable fault-tolerant and performant ML systems.
• Problem-Solving: Exceptional analytical interpretive and problem-solving skills with a focus on engineering challenges and innovative solutions.
• Communication: Excellent interpersonal verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Autonomy & Leadership: Proven ability to work independently drive projects to completion and provide technical leadership and mentorship.

What we look for

Were 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. Youll 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 were 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.

What working at EY offers

We offer a competitive compensation package where youll be rewarded based on your performance and recognized for the value you bring to our 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

About EY

As a global leader in assurance tax transaction and advisory services we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training opportunities and creative freedom to make things better. So that whenever you join however long you stay the exceptional EY experience lasts a lifetime.

Join us in building a better working world. Apply now.