AI/ML Engineer

About the role

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-teaming, 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-teaming, 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 About C-Serv C-Serv is a global IT consulting and workforce solutions firm operating across 50+ countries. We build high-performing teams for technology-led organisations, specialising in cybersecurity, cloud, AI, networking, and software engineering. We're 100% woman-owned, and our values - Empathy, Integrity, Collaboration, and Growth - govern how we hire, work, and treat every person we engage with. 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,

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