AI/ML Engineer

C-Serv; Dublin; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive Private Medical Coverage

Support for Mental Health Expenses

Life Insurance Options

Attractive Compensation Package

Job summary

C-Serv is seeking an experienced AI/ML Engineer specializing in AI and Large Language Models to enhance their security platforms. In this role, you will develop and deploy intelligent tools using leading AI technologies for automated red-team operations and vulnerability detection.

Your responsibilities will include collaborating with cross-functional teams, optimizing AI models, and proactively addressing security vulnerabilities. This position requires a Bachelor's or Master's degree and 3-5 years of relevant experience.

Join C-Serv to drive innovation and ensure robust AI security solutions!

Qualifications

• 3–5 years of experience developing, training, and deploying AI/LLM models.
• Familiarity with AI/LLM libraries such as PyTorch and TensorFlow.
• Strong analytical and problem-solving skills applied to AI challenges.

Responsibilities

• Research, design, and evaluate LLMs and deep learning models.
• Develop and maintain pipelines for AI workflows covering training and deployment.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

AI/ML model development

Large Language Model expertise

Software engineering best practices

Problem-solving skills

Cloud platforms knowledge

Vector databases

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Our client is seeking an experienced AI/ML Engineer specialising in Artificial Intelligence and Large Language Models to innovate and strengthen their pioneering security platforms. This role focuses on building and deploying intelligent tools using leading AI/LLM technologies for automated red‑team, vulnerability detection, adversarial attack simulation, and intelligent defence mechanisms.

You’ll work hands‑on to operationalise AI models, contributing to secure and robust model deployments. You’ll collaborate closely with AI researchers, software engineers, and product teams to productionise cutting‑edge AI solutions for securing and optimising AI‑powered systems and processes.

AI/ML Model Development & Application

• Research, design, develop, fine‑tune, and evaluate LLMs, intelligent agents, and deep learning models for AI security and system optimisation.
• Create advanced tools for automated red‑team, vulnerability detection, adversarial attack simulation, and intelligent defences.
• Implement and deploy AI/LLM‑powered features as robust, scalable, and secure components within the client’s security platforms.
• Optimise AI/LLM models for inference speed, cost‑efficiency, and resource utilisation in production.

MLOps & AI Workflow Pipeline Development

• Develop and maintain pipelines for end‑to‑end AI/LLM workflows covering data preprocessing, training, fine‑tuning, validation, deployment, and monitoring.
• Proactively monitor model performance and behaviour in production, addressing safety, alignment, and security vulnerabilities.
• Apply software engineering best practices to AI/LLM workflows for secure and seamless deployments.

Collaborative Development & Innovation

• Partner with cross‑functional teams, including researchers and engineers, to productionise cutting‑edge AI/LLM techniques and integrate them into the client’s products.
• Translate technical advancements into practical solutions aligned with customer needs and business objectives.
• Communicate findings and solutions through documentation and presentations for data‑driven decision‑making.

AI Security & Emerging Research

• Develop tools and strategies to detect and mitigate vulnerabilities such as prompt injection and data poisoning threats.
• Investigate and utilise advancements in Reinforcement Learning from Human Feedback (RLHF) to improve AI model reliability and alignment.
• Continuously stay updated on industry trends and research to integrate state‑of‑the‑art AI/LLM advancements into the platform.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3–5 years of professional experience, including hands‑on experience developing, training, and deploying AI/LLM models.
• Familiarity with AI/LLM libraries and tools such as PyTorch, TensorFlow, Hugging Face Transformers, or similar frameworks.
• Understanding of LLM security vulnerabilities and implementing mitigation solutions.
• Proven expertise in deploying AI/ML models in production environments, with emphasis on secure deployments.
• Strong analytical and problem‑solving skills applied to complex AI challenges.

Preferred Qualifications

• Experience fine‑tuning and deploying large‑scale language models, including using frameworks like vLLM or TGI.
• Familiarity with Reinforcement Learning from Human Feedback (RLHF) for improving LLM alignment and performance.
• Knowledge of vector databases (e.g., Pinecone, Weaviate) and their applications in AI workflows.
• Expertise with cloud platforms and distributed computing for large‑scale AI operations.
• Hands‑on experience optimising models for cost, speed, and resource efficiency in production workflows.

What Success Looks Like

• Demonstrating leadership in delivering robust, scalable, and secure AI/LLM‑powered solutions.
• Collaborating effectively with cross‑functional teams to align technical solutions with business needs and customer priorities.
• Developing innovative tools and methods to identify and mitigate security vulnerabilities within AI systems.
• Consistently applying advanced analytical techniques and operationalising data‑driven insights to enhance platform efficiency and reliability.

• Comprehensive Private Medical Coverage
• Support for Mental Health Expenses
• Life Insurance Options
• Attractive Compensation Package

Diversity & Inclusion

We champion diversity in every hire and are committed to equal opportunity regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age, disability, marital status, or veteran status.