drjobs Senior Machine Learning Engineer – Applied AI & Intelligence Systems

Senior Machine Learning Engineer – Applied AI & Intelligence Systems

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Athlone - Ireland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Zinkworks is a global leader in innovation headquartered in Athlone Ireland with three offices locations worldwide. We utilise the latest cutting-edge technologies to bring industry-leading expertise to our Telecommunication and Financial services clients. We are adept at developing custom innovations that streamline our clients workflows and improve operational efficiency. With a commitment to quality and customer satisfaction we have earned a reputation as a trusted partner for businesses seeking reliable software services.

What we are looking for

As a Senior Machine Learning Engineer Applied AI & Intelligence Systems you will lead the design development and operationalization of intelligent ML solutions across our platform. Your primary focus will be to architect and implement scalable machine learning componentssuch as drag-and-drop model modules automated training pipelines model lifecycle orchestration and self-sustaining feedback loops.

As a Senior Machine Learning Engineer Applied AI & Intelligence Systems you will drive the design and deployment of advanced ML capabilities that power intelligent scalable and user-friendly systems. Youll work across the full model lifecyclefrom data exploration to integrationenabling intuitive AI-driven workflows that support anomaly detection classification knowledge extraction and more. Your contributions will ensure that both technical and non-technical users can leverage AI effectively and responsibly.

Key Focus Areas:

  • Anomaly Detection & Forecasting Detect faults or unusual behaviours in large-scale systems. Anticipate what might break before it does.
  • Scoring & Classification Systems Develop fast reliable models for real-time decision-making on tabular or sequential data
  • Clustering & Pattern Recognition Uncover hidden patterns in complex datasets such as user behaviour or network activity
  • Transformer-Based Applications Apply pretrained transformer models for:
    • Knowledge extraction from logs and documents
    • Embedding generation for similarity search or matching
    • Lightweight LLM-style Q&A or summarization in closed environments
  • LLM Evaluation & Integration Evaluate and integrate open-source or API-based LLMs (e.g. Mistral LLaMA OpenAI Claude Gemini) to determine practical value and guide responsible usage whether using open source (Mistral LLaMA) or APIs (OpenAI Claude Gemini)

Your Toolkit (or Willingness to Learn)

  • One or more ML frameworks PyTorch TensorFlow JAX.
  • Transformer tooling HuggingFace Transformers sentence-transformers LangChain/RAG
  • Cloud fluency GCP AWS or Azure. VertexAI experience is a plus.
  • Model monitoring & lifecycle MLflow W&B or custom-built tools.

Why Work With Us

At Zinkworks we champion innovation and creativity within our diverse and supportive work environment. We are committed to providing avenues for professional growth and development ensuring you become a pivotal part of charting the future of technology solutions.

Join us if you are passionate about leading-edge software development and are seeking a fulfilling career with diverse challenges and career advancement opportunities.


Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.