EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Phoenix, Arizona, United States, 85003
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
Join EY as an AI & Machine Learning Engineering Consultant—Manager, where you will partner with clients and diverse teams to bring cutting‑edge technology solutions to complex problems. You will lead the design, build, and deployment of scalable AI systems across cloud and on‑premise environments while driving continuous improvement of models and data pipelines.
Key Responsibilities
Lead workstream delivery and manage processes and projects to ensure on‑time, high‑quality outcomes.
Continuously improve processes by identifying innovative solutions through research and analysis.
Supervise and develop professional employees, holding them accountable for performance and results.
Engage actively with clients, participate in daily sessions, and lead workstreams from planning through execution to closure.
Identify opportunities for additional services and manage engagement economics.
Qualifications
Bachelor’s degree in a related field (4‑year degree) or equivalent experience.
6‑10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
2‑4 years of direct management experience with technical teams.
Strong programming skills in Python and experience building production AI/ML solutions on major cloud platforms.
Proficient with Generative AI frameworks (OpenAI, Dall‑E, LangChain, RAG) and ML libraries such as Scikit‑Learn and PyTorch.
Experience in NLP, deep learning, and MLOps pipelines, including data ingestion, transformation, model training, retraining, monitoring, and reporting.
Fluency in DevOps tools (GIT, Azure DevOps), Agile practices (Jira), and CI/CD methodologies.
Strong analytical foundation in mathematics, statistics, and operations research; expertise in SQL, Pandas, and Spark.
Excellent communication skills and willingness to travel for client engagements.
Leadership, relationship‑building, and commercial acumen skills.
Ideal Additional Qualifications
Master’s degree in Computer Science, Mathematics, or another quantitative field.
Experience fine‑tuning generative models and managing complex, multi‑stakeholder projects.
Knowledge of data visualization, storytelling, and image/speech processing.
Additional programming languages beyond Python (e.g., R, JavaScript, Java, C++).
Strong industry trend awareness and ability to teach and influence technology adoption.
What We Offer
Comprehensive compensation and benefits, including medical, dental, pension, 401(k), and paid time off.
Flexible work model: hybrid, meeting the expectation of 40‑60% in‑person collaboration.
Professional growth opportunities with access to world‑class skills development and a diverse, inclusive culture.
EY is an equal‑employment‑opportunity employer committed to hiring and promoting qualified individuals regardless of race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, veteran status, disability, or any other legally protected status. EY provides reasonable accommodations to qualified individuals with disabilities, including veterans. If you require assistance during the application process, please call 1‑800‑EY‑HELP3, select Option 2, then Option 1 for candidate queries, and finally Option 2 for further assistance.
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Key Responsibilities
Lead workstream delivery and manage processes and projects to ensure on‑time, high‑quality outcomes.
Continuously improve processes by identifying innovative solutions through research and analysis.
Supervise and develop professional employees, holding them accountable for performance and results.
Engage actively with clients, participate in daily sessions, and lead workstreams from planning through execution to closure.
Identify opportunities for additional services and manage engagement economics.
Qualifications
Bachelor’s degree in a related field (4‑year degree) or equivalent experience.
6‑10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
2‑4 years of direct management experience with technical teams.
Strong programming skills in Python and experience building production AI/ML solutions on major cloud platforms.
Proficient with Generative AI frameworks (OpenAI, Dall‑E, LangChain, RAG) and ML libraries such as Scikit‑Learn and PyTorch.
Experience in NLP, deep learning, and MLOps pipelines, including data ingestion, transformation, model training, retraining, monitoring, and reporting.
Fluency in DevOps tools (GIT, Azure DevOps), Agile practices (Jira), and CI/CD methodologies.
Strong analytical foundation in mathematics, statistics, and operations research; expertise in SQL, Pandas, and Spark.
Excellent communication skills and willingness to travel for client engagements.
Leadership, relationship‑building, and commercial acumen skills.
Ideal Additional Qualifications
Master’s degree in Computer Science, Mathematics, or another quantitative field.
Experience fine‑tuning generative models and managing complex, multi‑stakeholder projects.
Knowledge of data visualization, storytelling, and image/speech processing.
Additional programming languages beyond Python (e.g., R, JavaScript, Java, C++).
Strong industry trend awareness and ability to teach and influence technology adoption.
What We Offer
Comprehensive compensation and benefits, including medical, dental, pension, 401(k), and paid time off.
Flexible work model: hybrid, meeting the expectation of 40‑60% in‑person collaboration.
Professional growth opportunities with access to world‑class skills development and a diverse, inclusive culture.
EY is an equal‑employment‑opportunity employer committed to hiring and promoting qualified individuals regardless of race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, veteran status, disability, or any other legally protected status. EY provides reasonable accommodations to qualified individuals with disabilities, including veterans. If you require assistance during the application process, please call 1‑800‑EY‑HELP3, select Option 2, then Option 1 for candidate queries, and finally Option 2 for further assistance.
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