Senior Machine Learning Engineer

Stelfox Limited; Dublin; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Stelfox Limited in Ireland is seeking a Senior Machine Learning Engineer for a 12-month initial term on a hybrid-working model. The role involves designing, developing, deploying and testing advanced ML solutions, with governance, data quality and scalable production readiness in mind.

The ideal candidate will lead ML model development, work across Python, R and Dataiku, and operate in AWS/Linux environments while leveraging GenAI patterns to deliver impactful data-driven outcomes for the client.

Qualifications

• Experience leading data science and ML model development.
• Proficiency in Python and R.
• Experience with Dataiku; Linux, containers and AWS environments.
• Knowledge of AI and GenAI development patterns (e.g., RAG).
• Experience with testing, deployment, and defect management in production.

Responsibilities

• Design, develop, test and deploy data science and ML solutions for medium-scale use cases.
• Collaborate to drive data-informed product strategies.
• Improve data quality, performance, reliability and scale of data platforms.
• Lead data model development and deployment methodologies with DevSecOps/DataOps practices.
• Stay current with tech trends and influence change across IT teams.

Skills

Python

R

Dataiku

AWS

Linux

GenAI

DevSecOps

Data governance

Testing

Tools

Dataiku

AWS

Docker

Linux

Job description

Senior Machine Learning Engineer - Daily Rate Contract (12 Month Initial Term) - Hybrid Working Model

Excellent NEW role has just opened with a gobal client in Ireland.

The succesful candidate will design, develop, support, deploy and/or test and influence leading data science and machine learning solutions of medium scale that are high-quality, innovative, efficient, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and client outcomes and objectives.

Key Skills:

• Leading data science, machine learning models and IT solutions development (programming) foundation.
• Proficiency in Python and R programing languages.
• Strong ability in utilizing data science platforms (Dataiku a distinct advantage) along with Linux, container and AWS based environments.
• Knowledge in AI and GenAI based development patterns (for example: RAG).
• Ability to apply leading testing skills, tools/frameworks, techniques, processes, and principles to software solutions in support of defect management, automation, diagnosis, deployment and reporting in a complex production environment; writes and executes test plans
• Ability to collaborate on, drive and deliver data-informed product strategies
• Improve data quality, application and database performance, reliability, and scale
• Effectively utilize, influence, and lead multiple data model and data development and deployment methodologies, processes, development best practices and DevSecOps and DataOps principles
• Remain current with technology trends and influence change across U.S. IT
• Leading understanding of data governance, data protection, privacy, and security best practices
• Participate in data modeling and data analysis, development and testing, ability approve the design on medium data product features, and validate vulnerability fixes
• Ability to write data mapping and metadata specifications for medium features
• Technically minded problem solver