AIML Associate Engineer

Dublin - Ireland

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

The AI/ML Associate Engineer is a handson software engineer who applies strong programming fundamentals to build integrate and support AI/ML solutions. The role focuses on writing productionquality code while contributing to AIpowered features including (where applicable) solutions that leverage Microsoft 365 Copilot and Copilot Agents.

This role is ideal for engineers early in their AI/ML career who are solid coders and eager to work at the intersection of software engineering applied ML and enterprise AI platforms.

Key Responsibilities

Design develop test and maintain productionquality software supporting AI/ML solutions.
Implement and support AIenabled features using modern ML/LLM techniques APIs and services.
Contribute to Copilotenabled workflows (e.g. Teams Outlook Word Excel) where applicable including prompt refinement and agentbased task automation.
Build and maintain backend services APIs and integrations that support AI/ML use cases.
Apply GenAI/LLM patterns: Build RAG pipelines prompt management evaluation harnesses and safety mitigations. Integrate embeddings vector stores and caching strategies for latency/cost targets.
Participate in model integration and lifecycle activities: experimentation evaluation deployment monitoring and iteration. Instrument solutions for monitoring (quality drift bias performance cost).
Write unit tests integration tests and documentation to ensure reliability security and maintainability.
Collaborate closely with product managers designers and senior engineers to translate requirements into working solutions.
Follow enterprise standards for security data handling and governance when working with AI systems.

Required Qualifications

Bachelors degree in Computer Science Engineering or equivalent practical experience.
Strong programming background especially in Python and/or at least one of Java C# or similar.
Solid understanding of software engineering fundamentals: data structures APIs version control testing and CI/CD.
Working knowledge of AI/ML fundamentals (machine learning concepts LLMs embeddings evaluation basics) and tooling (scikit-learn XGBoost PyTorch/TensorFlow Pandas/Spark).
Experience building APIs/services (REST/gRPC) containerization (Docker) and orchestration (Kubernetes).
Exposure to MLOps practices: CI/CD MLflow/Kubeflow model registries automated testing.

Preferred Qualifications

Experience using or integrating Microsoft 365 Copilot Copilot Agents or similar enterprise GenAI tools.
Exposure to prompt engineering agentbased workflows or AIassisted productivity tools.
Familiarity with cloud platforms (Azure preferred) Power Platform or Microsoft Graph integrations.
Experience supporting AI features in production systems.

Required Experience:

DescriptionThe AI/ML Associate Engineer is a handson software engineer who applies strong programming fundamentals to build integrate and support AI/ML solutions. The role focuses on writing productionquality code while contributing to AIpowered features including (where applicable) solutions that l...

Description

This role is ideal for engineers early in their AI/ML career who are solid coders and eager to work at the intersection of software engineering applied ML and enterprise AI platforms.

Key Responsibilities

Design develop test and maintain productionquality software supporting AI/ML solutions.
Implement and support AIenabled features using modern ML/LLM techniques APIs and services.
Contribute to Copilotenabled workflows (e.g. Teams Outlook Word Excel) where applicable including prompt refinement and agentbased task automation.
Build and maintain backend services APIs and integrations that support AI/ML use cases.
Apply GenAI/LLM patterns: Build RAG pipelines prompt management evaluation harnesses and safety mitigations. Integrate embeddings vector stores and caching strategies for latency/cost targets.
Participate in model integration and lifecycle activities: experimentation evaluation deployment monitoring and iteration. Instrument solutions for monitoring (quality drift bias performance cost).
Write unit tests integration tests and documentation to ensure reliability security and maintainability.
Collaborate closely with product managers designers and senior engineers to translate requirements into working solutions.
Follow enterprise standards for security data handling and governance when working with AI systems.

Required Qualifications

Bachelors degree in Computer Science Engineering or equivalent practical experience.
Strong programming background especially in Python and/or at least one of Java C# or similar.
Solid understanding of software engineering fundamentals: data structures APIs version control testing and CI/CD.
Working knowledge of AI/ML fundamentals (machine learning concepts LLMs embeddings evaluation basics) and tooling (scikit-learn XGBoost PyTorch/TensorFlow Pandas/Spark).
Experience building APIs/services (REST/gRPC) containerization (Docker) and orchestration (Kubernetes).
Exposure to MLOps practices: CI/CD MLflow/Kubeflow model registries automated testing.

Preferred Qualifications

Experience using or integrating Microsoft 365 Copilot Copilot Agents or similar enterprise GenAI tools.
Exposure to prompt engineering agentbased workflows or AIassisted productivity tools.
Familiarity with cloud platforms (Azure preferred) Power Platform or Microsoft Graph integrations.
Experience supporting AI features in production systems.

Required Experience:

Key Skills

Apply Now

About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click