Senior Machine Learning Engineer

5 days ago

Dublin, Dublin City, Ireland Pontoon Solutions Full time
Machine Learning Engineer Contract position x2, 6 months in duration Location Dublin - on site 3 days a week Rate competitive Join Our Innovative Team as a Machine Learning Engineer Are you passionate about leveraging machine learning to drive impactful solutions in the financial services sector? Our client, a leading organisation in Ireland, harnesses on-the-ground knowledge and global resources to empower companies and institutions to thrive.

We're on the lookout for two talented Machine Learning Engineers (Senior/Mid-Level) to join our dynamic Innovation Programme on a fixed-term contract basis.

Role Overview: As an ML Engineer, you'll play a crucial role in developing end-to-end machine learning solutions.

You'll be tasked with designing and implementing data pipelines, preparing data for modelling, and crafting robust models that integrate seamlessly into business applications.

If you're ready to tackle challenges and innovate within a collaborative environment, this is the opportunity for you Key Responsibilities: Develop and deploy machine learning models and data-driven solutions, guiding projects from data exploration to production.

Design and implement efficient data preparation processes and ML pipelines, ensuring scalability and reliability.

Collaborate with Data Engineers, Software Engineers, Business Subject Matter Experts, and Technology partners to align solutions with business needs.

Integrate ML models into existing software applications and services, ensuring smooth functionality.

Maintain robust deployment practises, monitor performance, and provide operational support for ML models.

Skills and Experience: Strong proficiency in Python and ML libraries (e.g., XGBoost, Scikit-learn, Tensor Flow, Pandas).

Demonstrated experience in ML pipeline design, data preparation, feature engineering, and model integration.

Proficient with deployment frameworks and tools (Docker, Kubernetes, CI/CD).

Familiarity with integration techniques, including APIs and service-oriented architectures.

Experience with various databases (relational, graph, object stores) is a plus.

Background in financial services or banking environments is advantageous but not mandatory.

Qualifications: Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field.

5-7+ years of professional experience in ML Engineering roles.

What We Offer: A vibrant and inclusive work environment where innovation is encouraged.

Opportunities for professional growth and development.

The chance to make a significant impact in the financial services industry.

If you're ready to embark on this exciting journey with us, we'd love to hear from you Apply now and let's shape the future of financial services together.

Join us in driving innovation and making a difference Skills: Machine Learning Docker Kubernetes CI/CD

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