EY GDS Consulting AIA Gen AI Senior
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Experience:410 years
Cloud:Microsoft Azure
Technologies:AI/ML Generative AI Agentic AI RDBMS Vector Databases MLOps DevOps
Role:We are seeking a skilled AI Engineer with a strong background in AI/ML and expertise in Azure AI services. This role focuses on designing and deploying innovative AI solutions that leverage AI/ML Generative AI and agentic AI technologies while providing leadership in solution architecture MLOps and DevOps practices.
Responsibilities:
- Design and implement AI solutions utilizing Azure ML Cognitive Services OpenAI Cognitive Search and Data Services.
- Develop fine-tune and deploy Generative AI models including LLMs multimodal models and diffusion models.
- Integrate and optimize agentic AI frameworks to enhance automation and orchestration processes.
- Implement and manage vector databases to support semantic search and retrieval functionalities.
- Establish and maintain MLOps pipelines for continuous integration and deployment of machine learning models.
- Monitor and optimize model performance in production ensuring reliability and scalability.
- Collaborate with cross-functional stakeholders to deliver scalable enterprise AI solutions.
- Provide technical leadership and mentorship to team members as needed.
Requirements:
- 410 years of proven experience in AI/ML engineering.
- Strong expertise in the Azure AI/ML ecosystem.
- Proficient coding skills in Python with experience in machine learning libraries.
- Basic knowledge of database technologies (SQL NoSQL) and data handling practices.
- Hands-on experience with Generative AI and agentic AI frameworks.
- Must-have experience with vector databases (e.g. Azure AI Search Pinecone FAISS Weaviate).
- Proficiency in Python along with frameworks such as LangChain LangGraph and Autogen.
- Strong understanding of MLOps principles including model versioning monitoring and lifecycle management.
- Hands-on experience in MLOps and DevOps practices including CI/CD pipelines containerization (Docker) and orchestration (Kubernetes).
- Strong problem-solving abilities and solution architecture skills.
Good to Have:
- Knowledge of responsible AI practices governance and compliance.
- Experience in delivering enterprise-scale AI solutions.
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.
Key Skills
- Compliance Management
- Customer Retention
- Quality Assurance
- Customer Service
- Extensive Knowledge
- Account Management
- Front Office
- Telephone Calls
- Needs Analysis
- Cold calls
- Business Relationships
- Customer Complaints
- Sales Goals
- Sales Process
- New Clients
About Company
Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.
