About Company
Driving innovation forward, Career.zycto is at the forefront of leveraging artificial intelligence to solve complex real-world challenges. We empower our engineers with cutting-edge tools and a collaborative environment where groundbreaking ideas flourish into tangible solutions. For an AI Engineer passionate about pushing boundaries in model training and automation, our dynamic team offers unparalleled opportunities for growth, impact, and continuous learning. Join us in shaping the future of AI, where your contributions directly influence the next generation of intelligent systems and transformative technologies. Your expertise is crucial to our mission to build smarter futures.
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Job Description
Are you an ambitious AI Engineer with a passion for transforming raw data into intelligent systems? Career.zycto is seeking a highly skilled and innovative AI Engineer specializing in Model Training & Automation to join our dynamic team in the Larne Lough area of Belfast. This pivotal role involves designing, developing, and deploying advanced machine learning models that power our next-generation products and services. You will be instrumental in building robust, scalable, and automated pipelines for model training, evaluation, and deployment, ensuring high performance and reliability across various applications.
At Career.zycto, you’ll work on challenging projects that span across diverse domains, from predictive analytics to natural language processing and computer vision. You’ll collaborate closely with data scientists, software engineers, and product managers, translating complex business requirements into technical specifications and impactful AI solutions. We believe in fostering an environment where curiosity is encouraged, and continuous learning is a core value. You will have the opportunity to experiment with state-of-the-art AI techniques, contribute to our internal AI research initiatives, and stay at the cutting edge of the field.
Your day-to-day will involve hands-on coding, architecting scalable solutions, optimizing model performance, and ensuring the smooth operationalization of AI systems. If you thrive in a fast-paced environment, possess an analytical mindset, and are eager to make a significant impact by automating and enhancing our AI capabilities, we encourage you to apply. This is a unique opportunity to contribute to a company that values innovation, collaboration, and the development of its people. We are committed to creating an inclusive workplace where diverse perspectives drive our success.
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Key Responsibilities
- Design, develop, and implement scalable machine learning models and algorithms.
- Build and maintain automated pipelines for data ingestion, model training, evaluation, and deployment.
- Optimize existing AI models for performance, efficiency, and scalability.
- Collaborate with data scientists to translate research prototypes into production-ready systems.
- Monitor deployed models, troubleshoot issues, and ensure continuous improvement through retraining and updates.
- Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Research and integrate new AI/ML technologies and best practices into our development workflow.
- Document technical designs, processes, and model specifications.
- Contribute to the continuous improvement of our MLOps practices and infrastructure.
Required Skills
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with MLOps tools and practices for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI workloads.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Strong problem-solving skills and an analytical mindset.
- Excellent communication and teamwork abilities.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Knowledge of CI/CD pipelines for machine learning models.
- Experience with real-time model serving and API development.
- Familiarity with specialized hardware for AI acceleration (GPUs, TPUs).
- Contributions to open-source AI projects or publications in relevant conferences.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and dental insurance.
- Generous paid time off and public holidays.
- Pension contribution scheme.
- Opportunities for professional development, training, and conference attendance.
- Flexible working arrangements (where applicable).
- Modern office environment with state-of-the-art facilities.
- Team social events and collaborative company culture.
- Free on-site parking.
- Cycle to Work scheme.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their experience and interest in this role. Please highlight your specific experience with model training, automation, and any relevant projects or contributions. We look forward to reviewing your application and exploring how your expertise can contribute to our innovative team.
