NeuraFlash, Part of Accenture, is looking for an AI/ML Engineer to contribute to the design, development, and deployment of models that solve complex business problems. In this role, you'll collaborate across disciplines to integrate AI solutions into products and services while mentoring team members and staying current with AI advancements.
What You'll Do
- Contribute to key aspects of the model lifecycle, including data acquisition, preprocessing, feature engineering, training, and optimization.
- Collaborate with scale teams for model deployment and monitoring.
- Work with designers, engineers, product managers, and business stakeholders to integrate AI solutions into products and services.
- Mentor and support less-experienced team members, fostering a culture of learning and technical excellence.
- Promote best practices in responsible AI within your immediate team.
- Stay current with advancements in AI research and technology and leverage training for continuous learning.
What We're Looking For
- Bachelor’s Degree or higher in Computer Science, Data Science, Mathematics, Artificial Intelligence or a related field.
- Substantial professional experience in designing and implementing analytics/AI systems for R&D or commercial applications.
- Hands-on experience applying AI, data science, ML/DL and other data modelling techniques to real-world problems.
- Experience working with large language models (LLMs) and other natural language processing (NLP) technologies.
- Strong programming skills in Python.
- Exposure to benchmarking new AI models and open-source frameworks.
- Familiarity with prompt/context engineering and related concepts.
- Ability to work in situations with uncertainty and ambiguity, showing a positive and proactive attitude.
Nice to Have
- Industry, product or commercial application experience.
- Exposure to deploying and managing AI/ML models using cloud-native platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
- Exposure to different types of data storage technology (e.g., relational, document, knowledge graph), and vector databases for RAG.
- Knowledge of data security and data privacy principles and regulations.
- Familiarity with modern data engineering and processing tools such as Databricks, Apache Beam, or cloud-native data pipelines.
- Basic understanding of containerization (Docker/Kubernetes), CI/CD pipelines, and MLOps tools (e.g., MLflow, Kubeflow).
- Exposure to building and integrating RESTful APIs (e.g., FastAPI) to serve models and connect AI components to enterprise applications.
- Experience in version control and standard SDLC practices such as GIT, branches, pull requests, code reviews, unit testing.
- Ability to leverage AI in your own ways of working, e.g. a structured approach to AI-assisted software development.
- Ability to rapidly prototype AI solutions, translating ideas into functional models and applications using frameworks, APIs, and cloud services for quick validation.
- Experience with agile development on multi-disciplinary project teams with distributed stakeholders and working in a collaborative team environment.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Willingness to support and learn from more experienced team members.
- Experience working in a large organisation.
Technical Stack
- Programming: Python
- AI/ML: LLMs, NLP
- Cloud Platforms: Azure Machine Learning, AWS SageMaker, Google Vertex AI
- Data Tools: Databricks, Apache Beam
- Infrastructure: Docker, Kubernetes, MLflow, Kubeflow
- APIs: FastAPI
- Version Control: GIT
Team & Environment
You'll join multi-disciplinary project teams with designers, engineers, product managers, and business stakeholders, fostering a culture of learning and technical excellence.
Benefits & Compensation
- Pension contributions
- Private health insurance
- Employee share scheme
- Discounted gym membership
- Emergency caring facilities
- 2 days’ leave per year for charitable work
- Professional membership support
- Community events
Work Mode
This role offers a hybrid work arrangement based in Dublin, Ireland.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
