About Company
Driving innovation through intelligent systems is the core mission at Hiring.zycto. We offer a dynamic environment where an AI Engineer can truly thrive, transforming complex data into powerful, automated solutions that redefine industries. As a forward-thinking technology company, we are at the forefront of developing groundbreaking machine learning applications. Our collaborative spirit encourages bold ideas, continuous learning, and a relentless pursuit of excellence, providing ample scope for technical mastery. If you’re seeking to make a significant impact by deploying advanced AI models, Hiring.zycto provides the platform for your brilliance to flourish.
Job Description
Hiring.zycto is seeking an exceptional AI Engineer with a strong focus on model training and automation to join our innovative team in Bangor, Northern Ireland. This is a pivotal role where you will be instrumental in bridging the gap between cutting-edge research and scalable production systems. You will be responsible for designing, developing, and deploying robust machine learning models, ensuring their optimal performance, reliability, and maintainability throughout their lifecycle. Your work will directly impact our ability to deliver intelligent solutions that solve complex real-world problems for our clients across various sectors. This role demands a unique blend of theoretical machine learning knowledge and practical engineering prowess.
In this role, you will immerse yourself in the full spectrum of the AI development pipeline, from meticulous data preparation and feature engineering to the iterative process of model training, evaluation, and fine-tuning. You will be expected to ensure our models are not only accurate and performant but also interpretable and ethical, adhering to the highest industry standards. A critical component of this position involves implementing and maintaining sophisticated MLOps practices. This includes automating model deployment, establishing robust real-time performance monitoring systems, setting up continuous integration/continuous delivery (CI/CD) pipelines specifically for ML models, and rigorously managing version control for datasets, code, and model artifacts. We are looking for a proactive problem-solver who can identify potential bottlenecks, propose innovative and scalable solutions, and contribute significantly to our architectural decisions and technology roadmap.
Beyond the technical execution, you will play a key role in fostering a culture of technical excellence and collaborative innovation. You will work closely with data scientists to translate their experimental prototypes into production-ready, resilient AI services. Collaboration with software engineers will be essential to seamlessly integrate AI models into larger application ecosystems, ensuring smooth data flow and optimal user experience. Furthermore, you will engage with product managers to understand business requirements, translating them into technical specifications for AI solutions. Your expertise will guide the selection of appropriate algorithms, machine learning frameworks, and cloud services, ensuring we leverage the best tools for the job. This is an unparalleled opportunity for an AI Engineer passionate about bringing models from experimentation to full-scale production, making a tangible impact on our product offerings and contributing to the strategic direction of our AI initiatives and the growth of our Belfast presence.
Key Responsibilities
- Design, develop, and implement machine learning models from conception to production deployment.
- Optimize and fine-tune AI/ML models for performance, scalability, and resource efficiency.
- Establish and maintain robust MLOps pipelines for automated model training, validation, deployment, and monitoring.
- Develop and manage data pipelines for model training, including data ingestion, cleaning, transformation, and feature engineering.
- Implement CI/CD practices specifically tailored for machine learning workflows.
- Monitor model performance in production, detect drifts, and retrain models as necessary.
- Collaborate with data scientists to translate research prototypes into production-ready systems.
- Work alongside software engineers to integrate AI models into larger application ecosystems.
- Ensure the ethical development, fairness, and transparency of AI models.
- Stay updated with the latest advancements in AI/ML technologies, tools, and best practices.
Required Skills
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms and deep learning architectures.
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Sagemaker, Azure ML, Google AI Platform).
- Solid experience with cloud platforms (AWS, Azure, GCP) for deploying and managing ML workloads.
- Expertise in data manipulation and feature engineering using tools like Pandas, SQL.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and version control systems (Git).
- Excellent problem-solving skills and ability to work with complex datasets.
Preferred Qualifications
- Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Experience with big data technologies (Spark, Hadoop).
- Knowledge of advanced deployment strategies like A/B testing for ML models.
- Familiarity with model explainability (XAI) and fairness techniques.
- Experience in real-time inference systems and low-latency model serving.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and public holidays.
- Flexible working hours and opportunities for professional development.
- Access to cutting-edge tools and technologies.
- Collaborative and innovative work environment.
- Company-sponsored learning and training initiatives.
- Pension scheme.
- Employee assistance program.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their CV and a cover letter detailing their relevant experience and interest in this role. Please ensure your application highlights your expertise in AI model training, automation, and MLOps practices. We look forward to reviewing your application!