AI & Machine Learning Engineering Consultant - Manager - Consulting

AI & Machine Learning Engineering Consultant - Manager - Consulting

Location:

Anywhere in 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 to build a better working world.

As part of EY’s Artificial Intelligence and Data team, you will apply cutting‑edge technology and techniques to create innovative solutions for our clients. You will work side‑by‑side with clients and EY teams to advise on and solve challenging problems. The role requires continuous learning, staying ahead of trends, and influencing new ways of working to position solutions in the most relevant and innovative manner.

Expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path.

• Research, build, and implement scalable AI systems that learn and make predictions tailored to business requirements across cloud and on‑premises environments.
• Enhance data pipelines and storage to ensure clean, accurate data optimized for XOps processes.
• Monitor and evaluate learning processes to continuously improve high‑performance models.
• Collaborate with data and analytics professionals to industrialize analysis into effective analytics solutions.
• Lead workstream delivery and manage processes and projects effectively.
• Continuously improve processes through research and analysis.
• Manage professional employees and supervise teams, holding accountability for performance and results.
• Engage actively with clients, participate in daily working sessions, and lead work streams from planning through execution to closure.
• Identify opportunities for additional services and manage engagement economics.

• 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 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.
• Continuous learning mindset and staying ahead of industry trends.

• Bachelor’s degree (4‑year) required.
• 6–10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
• 2–4 years of experience directly managing technical teams.
• Strong programming skills in Python.
• Ability to lead, collaborate, and communicate effectively across hybrid and global teams.
• Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
• Proficiency with Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, RAG) and ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience with 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 in 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; proficiency with SQL, Pandas, Spark.
• Excellent communication skills for conveying findings and recommendations.
• Skills in technical design optimization, relationship building, and commercial acumen.
• Willingness to travel for client engagements.

• Deep understanding of concepts, tools, and benefits of different AI approaches.
• Master’s degree in Computer Science, Mathematics, or a quantitative field.
• Experience teaching and mentoring team members.
• Skills in languages beyond Python (R, JavaScript, Java, C++,
  
  C).
• Experience fine‑tuning Generative AI models.
• Experience managing complex projects with multiple stakeholders.
• Understanding of industry trends and emerging technologies.
• Skills in data visualization and storytelling.
• Experience…