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AI & Machine Learning Engineering Consultant - Manager - Consulting

Job in Buffalo, Erie County, New York, 14266, USA
Listing for: EY
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant – Manager – Consulting (Location OPEN)

We are looking for an AI & Machine Learning Engineering Consultant – Manager – Consulting to join EY’s Artificial Intelligence and Data team, located anywhere in the country.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Key Responsibilities
  • Leading workstream delivery and ensuring the effective management of processes and projects.
  • Continuously improving processes by identifying innovative solutions through research and analysis.
  • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
  • Engaging actively with clients, participating in daily working sessions, and leading work streams from planning through execution to closure.
  • Identifying opportunities for additional services and managing engagement economics.
  • Researching, building, and implementing scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises.
  • Enhancing data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
  • Monitoring and evaluating learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Skills and Attributes
  • Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
  • Strong judgment in selecting methods and techniques for obtaining results.
  • Experience in managing client relationships and delivering high‑quality service.
  • Ability to lead teams effectively and manage change within the organization.
  • Technical guidance and knowledge sharing with diverse team members.
  • Strong communication skills and willingness to travel for client engagements.
  • Demonstrated client trust and value.
Qualifications
  • A Bachelor’s degree required (4‑year degree).
  • 6–10 years of relevant experience of full‑time working experience in AI, Data Science, and/or Machine Learning.
  • 2–4 years of experience directly managing technical teams.
  • Strong skills in Python.
  • 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 for developing, deploying, and scaling analytical solutions.
  • 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 modelling 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.
  • Skills in Technical Design Optimization.
  • Digital fluency and emotional agility.
  • Commercial acumen and negotiation skills.
Ideal
  • A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches.
  • Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
  • Experience working with diverse teams to deliver complex solutions.
  • Strong skills in languages beyond Python: R, JavaScript, Java, C++,

    C.
  • Experience fine‑tuning Generative AI models.
  • Experience in managing complex projects with multiple stakeholders.
  • A strong understanding of industry trends and emerging technologies.
  • Skills in data visualization and…
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