Expertise in Machine Learning

2 weeks ago

Waterford, Waterford, Ireland beBeeMACHINELEARNING Full time €80,000 - €100,000
About the Position

We are seeking a seasoned Machine Learning Expert to contribute directly to our rapidly growing AI/ML family of products. In this role, you'll be responsible for investigating, evaluating, integrating, and developing open-source AI/ML systems and functionality to enhance the overall development and operations of our downstream AI products and upstream open-source AI projects.

Key Responsibilities:
  • Prepare structured and unstructured data for analysis, including handling missing values and outliers.
  • Design and train ML models using established frameworks and architectures.
  • Collaborate with cross-functional teams to build and integrate model serving solutions accommodating various model architectures and accelerators.
  • Partner with Data Scientists, Engineers, and Product Management to identify and incorporate customer needs and goals.
  • 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 Apache Beam, Spark, Pandas, Feast, Airflow, NumPy.
  • 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.
Benefits:

This position offers opportunities for professional growth and collaboration within a dynamic team. We prioritize employee well-being and offer flexible work arrangements, ensuring a healthy work-life balance.

Others:

We are an equal opportunity employer and welcome applicants from diverse backgrounds. If you are passionate about AI and machine learning, please submit your application with your resume and a cover letter outlining your qualifications and experience.

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