Our client is seeking a Machine Learning Engineer/ Artificial Intelligence Engineer to contribute to the development and deployment of advanced ML and AI solutions. This position offers diverse responsibilities, including leading a small team of machine learning engineers and collaborating closely with cross-functional groups to deliver solutions. The successful candidate will be instrumental in driving innovation and leveraging AI/ML expertise to enhance the financial lives of customers worldwide.

Key Responsibilities

Lead and manage machine learning projects from initial concept through to production deployment, fostering relationships with business partners and cross-functional teams. Work closely with business leaders and subject matter experts makers to define success criteria and enhance new products, features and models.

Collaborate with data scientists to interpret, train, and design machine learning models tailored to business needs. Partner with infrastructure teams to enhance the architecture, scalability, and performance of the machine learning platform. Construct optimised data pipelines for efficient feeding of machine learning models.

Extend existing machine learning libraries and frameworks as required for project success. Develop processes, monitoring systems, and governance frameworks to ensure successful operationalisation of ML models. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for achieving key deliverables.

Establish standards for engineering and operational excellence to ensure a best-in-class ML platform, continuously improving to stay at the forefront of innovation. Design and implement architectural best practices for the delivery of data science use cases.

Skills/Experience Required

Proven experience deploying AI/ML models into production, taking a lead role in these initiatives. Familiarity with AWS SageMaker and Bedrock, and hands-on experience with large language models (LLMs) and Generative AI use cases. Solid practical knowledge of Machine Learning Engineering using Python, Java, and Scala.

Strong foundation in scientific principles such as algorithms, data structures, and multithreading. Experience with Generative AI, including the use of LangChain for Gen AI applications and Retrieval-Augmented Generation (RAG) techniques. Competency with ML and DL libraries such as XGBoost, scikit-learn, TensorFlow, and PyTorch.

Experience building solutions using public cloud platforms (AWS, GCP, or similar) and ML platforms like SageMaker, H2O, or equivalents. Understanding of the ML model development lifecycle, including components such as containers and distinctions between batch and real-time inference endpoints.

Experience developing and deploying production-grade applications with ML inference using automated pipelines on the cloud. Ability to manage relationships in cross-functional environments with multiple stakeholders. Experience working within Agile/Scrum development frameworks. Strong skills in innovation and problem-solving.

Desirable Skills

Experience with search platforms such as Solr or Elasticsearch. Background in building end-to-end recommender systems. Exposure to graph databases and platforms like Neo4j, and experience with CI/CD tools such as Jenkins. Knowledge of the Financial Services, Insurance, or 401K domains. AWS Solutions Architect certification.

Benefits

Competitive salary structure, including bonus, pension, and health care cover. Life insurance, laptop, phone, and access to extensive training resources. Company discounts, on-site parking, and additional employee benefits.

Position Details

Permanent role based in Letterkenny, Co. Donegal. Hybrid working model: three days per week on-site, with the remainder remote if desired.

Candidates must be eligible to work in Ireland or the EU.

For further details or to express interest, please contact David Coyle at 01 6351748 or via email at [email protected].