Senior Data Scientist, AI Engineer
EY
Job Overview
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Job Description
Role Description
The Senior Data Scientist, AI Engineer delivers machine learning and AI solutions across a mixed project portfolio, including classical machine learning systems, generative AI applications, and agent-based AI solutions. The role spans solution design, development, deployment, and ongoing improvement, with a strong focus on building reliable, production-ready AI systems.
Artificial Intelligence / Machine Learning Engineer is responsible for designing and developing machine learning models and AI applications, including generative AI and agent-based solutions. They work with data and AI platforms to build, integrate, and refine models and AI components, ensuring solutions are scalable, maintainable, and aligned with business needs. Responsibilities include implementing appropriate ML, GenAI, or agentic approaches depending on the problem, as well as improving and extending existing AI systems. They contribute to the delivery of AI solutions by applying MLOps / LLMOps practices such as deployment, versioning, monitoring, and continuous improvement. Their goal is to deliver practical, high-quality AI solutions that create measurable business value.
Requirements and Skills
- Proven experience as a Data Scientist, AI Engineer, or Machine Learning Engineer working on production AI solutions
- Strong programming skills in Python and experience building AI or ML-based applications
- Hands-on experience with machine learning and exposure to generative AI and agent-based AI solutions
- Experience supporting AI solutions through deployment and operational workflows (MLOps / LLMOps)
- Understanding of data structures, data modeling, and software engineering principles
- Familiarity with common machine learning and AI frameworks and libraries
- Excellent communication skills and ability to work effectively in a team
- Strong analytical thinking and problem-solving abilities
Key skills/competency
- Python
- Machine Learning
- Generative AI
- MLOps
- LLMOps
- Data Modeling
- Software Engineering
- Analytical Thinking
- Problem Solving
- AI Frameworks
How to Get Hired at EY
- Research EY's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight production AI, ML, GenAI, MLOps, and data modeling skills to align with EY's needs.
- Showcase project portfolio: Demonstrate hands-on experience with AI/ML solutions, emphasizing measurable business impact.
- Prepare for technical deep dives: Expect questions on Python, ML frameworks, data structures, and MLOps/LLMOps best practices.
- Emphasize problem-solving: Be ready to discuss how you've approached complex AI challenges and delivered practical solutions.
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