EY-GDS Consulting-AIA-AI MLOps Engineer-Senior

At EY were all in to shape your future with confidence.

Well 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.

Career Family

AIA AI MLOPs ENGINEER

Role Type

Full Time

The opportunity

We are seeking a dynamic Senior consultant to join our AI & Data Consulting team focused on driving AI-driven transformations. The ideal candidate will be responsible for operationalizing Machine Learning and Generative AI solutions at scale. The role focuses on Building deploying monitoring and governing ML and LLMbased systems across the full AI lifecycle ensuring reliability scalability performance and compliance.

The individual will work closely with data scientists AI engineers and DevOps teams to enable productiongrade AI platforms and support enterprise AI and Agentic AI initiatives.

Your key responsibilities

MLOps / LLMOps Engineering

• Design build and maintain endtoend MLOps and LLMOps pipelines covering experimentation training deployment monitoring and retraining.
• Operationalize ML and LLM models for production environments with high availability and scalability.
• Implement best practices for model versioning artifact management and reproducibility.

CI/CD And Automation

• Develop and maintain CI/CD/CT pipelines for ML and GenAI workloads.
• Automate model packaging deployment validation and rollback processes.
• Integrate AI pipelines with enterprise DevOps toolchains.

API And Model Serving

• Design develop and deploy RESTbased inference services using Python frameworks such as Flask or FastAPI.
• Enable scalable and secure model serving for batch and realtime use cases.

Monitoring Governance And Responsible AI

• Monitor model performance data drift and model drift in production environments.
• Support Responsible AI practices including robustness explainability and governance controls.
• Enable continuous feedback loops and retraining strategies to maintain model quality.

Collaboration And Delivery

• Collaborate with crossfunctional teams including Data Engineering Data Science Platform Engineering and Cyber/Compliance teams.
• Support enterprise AI platforms and GenAI solutions across multiple client engagements.

Skills and Attributes:

Technical Skills

• Strong programming experience in Python.
• Experience building REST APIs for ML/AI services using Flask FastAPI or similar frameworks.
• Strong handson experience with CI/CD / CT pipelines for ML workloads.
• Solid understanding of MLOps principles including model lifecycle management and automation.

Educational Background

• Bachelors / masters degree in data science AI Gen AI or AI/ML. Engineering or quantitative background preferred.

Professional Experience

• 47 years of handson experience in Machine Learning with strong operationalization and production delivery exposure.
• Proven track record in AI-driven transformation programs including Agentic AI predictive analytics and process mining.
• Experience in building and deploying accelerators playbooks or proprietary platforms for data-driven consulting.

Soft Skills

• Exceptional client engagement and stakeholder management skills
• Strong problemsolving skills with the ability to translate complex business requirements into practical highquality technical solutions.
• Excellent communication presentation and leadership abilities.

Preferred / GoodtoHave Skills

• Experience with LLMOps for Large Language Models and Generative AI workloads.
• Familiarity with ML lifecycle tools (e.g. experiment tracking model registries feature stores).
• Experience with cloudbased ML platforms (Azure ML AWS SageMaker or equivalent).
• Exposure to monitoring and observability tools for AI systems.
• Understanding of Responsible AI concepts and AI governance frameworks.

Preferred Certifications

• GenAI and LLM focussed AI/ML or data analytics certifications (Google Microsoft AWS Coursera etc.)

Why Join Us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts analytics leaders and industry specialists in a highly entrepreneurial environment.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina China India the Philippines Poland and the UK and with teams from all EY service lines geographies and sectors playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants we offer a wide variety of fulfilling career opportunities that span all business GDS you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people learning skills and insights that will stay with you throughout your career.

• Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
• Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1