AI & Machine Learning Engineering Consultant - Senior - Consulting

AI & Machine Learning Engineering Consultant – Senior – Consulting – Location OPEN

Join EY as an AI & Machine Learning Engineering Consultant (Senior) and shape the future with confidence.

Location:

Anywhere in Country

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients.

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high‑performance models.
• Travel to engage with external clients as needed.

• Strong analytical and decision‑making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

• A Bachelor’s degree required (4‑year degree).
• 3–6 years of full‑time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams.
• Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
• Proficient in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in Dev Ops tools (GIT, Azure Dev Ops), Agile methodologies (Jira), and CI/CD pipelines.
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model and solution monitoring and reporting.
• Understanding of data structures, data modeling, and software engineering best practices.
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.

• Master's degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.
• Experience in hybrid collaboration and emotional agility.
• A track record of working with diverse teams to drive outcomes through complex problem solving.
• Knowledge of sustainability practices in technology.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++,
  
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• Experience fine‑tuning Generative AI models.
• Experience with image processing techniques and/or speech and audio processing and analysis.

• Competitive compensation and benefits: base salary range $106,900–$176,500 in the US (varies by region) plus comprehensive medical, dental, pension, 401(k) and paid time off.
• Hybrid work model: 40–60% of time in person as needed.
• Generous flexible vacation policy and family leave benefits.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.

EY accepts applications for this position on an ongoing basis.