Overview
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.
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 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 david@methodius.com.
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