EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Buffalo, New York, United States, 14266
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 workstreams 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 DevOps tools (GIT, Azure DevOps), 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 storytelling with data.
Experience with image processing techniques and/or speech and audio processing and analysis.
What We Offer
Comprehensive compensation and benefits package with base salary ranging from $125,500 to $230,200 (US) and additional benefits such as medical, dental, pension, 401(k), and paid time off.
Hybrid work model with flexible location requirements and 40–60% in‑person client engagement for most roles.
Flexible vacation policy and extended holidays, including designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY is an equal employment opportunity employer. We provide reasonable accommodation to qualified individuals with disabilities, including veterans. If you need assistance, please call 1-800-EY-HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr
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 workstreams 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 DevOps tools (GIT, Azure DevOps), 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 storytelling with data.
Experience with image processing techniques and/or speech and audio processing and analysis.
What We Offer
Comprehensive compensation and benefits package with base salary ranging from $125,500 to $230,200 (US) and additional benefits such as medical, dental, pension, 401(k), and paid time off.
Hybrid work model with flexible location requirements and 40–60% in‑person client engagement for most roles.
Flexible vacation policy and extended holidays, including designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY is an equal employment opportunity employer. We provide reasonable accommodation to qualified individuals with disabilities, including veterans. If you need assistance, please call 1-800-EY-HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr