AI & Machine Learning Engineering Consultant - Manager - Consulting
Job in
Buffalo, Erie County, New York, 14266, USA
Listed on 2025-12-01
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
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.
- 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.
- 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.
- 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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