AI / ML Engineer

Reperio Human Capital; Kildare; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Reperio Human Capital Ltd in Ireland is seeking an experienced AI/ML Engineer to design, build, and deploy production-ready machine learning and AI solutions across data science, analytics, and intelligent applications. This is a hands-on, high-impact role where you will own AI/ML initiatives end-to-end from design and experimentation through deployment and ongoing improvement.

You'll work with data, technology, product, and business teams to translate complex AI challenges into scalable, secure

Qualifications

• Hands-on Python software engineering with ML focus.
• Proven production ML/AI deployment experience.
• Strong knowledge of Snowflake and cloud data architectures.

Responsibilities

• Design, develop, test, and deploy AI/ML models and apps.
• Build production-ready ML and GenAI solutions (RAG-based).
• Develop scalable data and ML pipelines on cloud platforms.
• Implement robust software engineering, testing, automation, and CI/CD."
• Oversee full ML lifecycle from prototyping to deployment and monitoring.
• Collaborate with data, product, and business teams to deliver value.

Skills

Python programming

R programming

GenAI/LLMs

MLOps

CI/CD

Cloud data platforms

Linux

AWS

Tools

Snowflake

Cloud data platforms

Containers

Job description

AI / ML Engineer

12 Month Initial Contract | Hybrid | 2 Days Onsite

We're looking for an experienced AI / ML Engineer to design, build, and deploy production-ready machine learning and AI solutions across data science, analytics, and intelligent applications.

This is a hands-on, high-impact engineering role for someone who can take ownership of AI/ML initiatives end-to-end from solution design and experimentation through to deployment, optimisation, and ongoing improvement.

You'll work closely with data, technology, product, and business teams to translate complex data and AI challenges into scalable, secure, and commercially valuable solutions.

What You'll Be Doing

• Design, develop, test, and deploy AI/ML models and intelligent applications
• Build and productionise machine learning and GenAI solutions, including RAG-based architectures
• Work with Snowflake and modern cloud data platforms to develop scalable data and ML solutions
• Develop robust software using modern software engineering, testing, automation, and CI/CD practices
• Work across the full ML lifecycle, from experimentation and prototyping through to deployment, monitoring, and optimisation
• Build and enhance data pipelines and solutions that support AI/ML workloads and analytics
• Contribute to the evolution of AI/ML platforms, data products, and engineering capabilities
• Improve the performance, scalability, reliability, and quality of data and ML pipelines
• Champion MLOps, DataOps, and DevSecOps principles across development and delivery
• Apply strong practices around data governance, privacy, security, and responsible AI
• Collaborate with cross-functional teams to identify opportunities where AI and machine learning can deliver measurable business value

What You'll Bring

• Strong hands-on software engineering experience with Python, with additional experience in R
• Proven experience building and deploying machine learning and AI solutions in production? Yes; continuing
• Strong experience working with Snowflake, cloud data platforms, and modern data architectures
• Experience working across Linux, AWS, containers, and data science / ML platforms
• Practical experience with Generative AI, LLMs, and RAG architectures
• Understanding of MLOps, CI/CD, model deployment, monitoring, and automation
• A strong software engineering mindset, with a focus on scalability, maintainability, testing, and reliability
• Ability to take ownership of technical solutions and work effectively across engineering, data, product, and business teams
• Strong problem-solving skills and the ability to turn ambiguous business problems into practical AI/ML solutions

Please note: Applicants must have unrestricted, full-time eligibility to work in Ireland.