Senior AI/ML Engineer

2 days ago

Waterford, Waterford, Ireland beBeeMachine Full time €80,000 - €100,000

Job Title: Senior AI/ML Engineer We are seeking an experienced Senior AI/ML Engineer to join our team. As a key member of our Agentic and AI Engineering Tools team, you will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations of both Red Hat's downstream AI products and upstream open source AI projects. Responsibilities:  • Prepare structured and unstructured data for analysis, including handling missing values and outliers.  • Design and train ML models using established frameworks and architectures.  • Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators.  • Partner with Data Scientists, ML Engineers, Software Engineers, and Product Management to identify and incorporate customer needs and goals.  • Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.  • Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling. Requirements:  • 3+ years of experience as a Machine Learning Engineer or similar role.  • Experience in ML and AI, or other deep learning-related independent project work with evidence of completion.  • Experience with data ingestion or processing tools and frameworks, such as Docling, Spark, Pandas, Feast, Airflow, NumPy.  • Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods.  • Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule-based systems.  • Experience writing unit tests for ML models and associated components.  • Knowledgeable with Jupyter notebooks and Python development.  • Experience cleaning and preparing structured datasets for training and analysis.  • Experience creating basic features to enhance data utility for machine learning models.  • Knowledgeable in using predefined metrics to assess model accuracy and identify improvements.  • Experience contributing to the deployment of machine learning models into test environments.  • Experience documenting processes and maintaining records of datasets and models used.  • Knowledgeable in understanding and implementing concepts outlined in research papers.  • Ability to quickly learn and use new tools and technologies. Nice to Have:  • Experience working with Kubernetes/OpenShift and containers.  • Experience with AI and Machine Learning platforms, tools, and frameworks, such as PyTorch, vLLM, and Kubeflow.  • Experience with writing and publication of research papers.  • Understanding of DevOps methodology, Scrum, and/or Jira.  • Bachelor's degree or higher in Machine Learning (ML), Natural Language Processing (NLP) or related discipline, or equivalent years of experience.],

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