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AIA –AI MLOPS_ Engineer
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 LLM‑based 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 production‑grade AI platforms and support enterprise AI and Agentic AI initiatives.
Your key responsibilities
MLOps / LLMOps Engineering
- Design, build, and maintain end‑to‑end 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 & 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 & Model Serving
- Design, develop, and deploy REST‑based inference services using Python frameworks such as Flask or FastAPI.
- Enable scalable and secure model serving for batch and real‑time use cases.
Monitoring, Governance & 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 & Delivery
- Collaborate with cross‑functional 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 of working in Azure Ecosystem.
- Experience building REST APIs for ML/AI services using Flask, FastAPI, or similar frameworks.
- Strong hands‑on experience with CI/CD / CT pipelines for ML workloads.
- Solid understanding of MLOps principles, including model lifecycle management and automation.
Educational Background
- Bachelors / master’s degree in data science, AI, Gen AI, or AI/ML. Engineering or quantitative background preferred.
Professional Experience
- 10-16 years of hands‑on 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 problem‑solving skills with the ability to translate complex business requirements into practical, high‑quality technical solutions.
- Excellent communication, presentation, and leadership abilities.
Preferred / Good‑to‑Have 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 cloud‑based 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 disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll 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.
