About Company
Ignite your career at a place where innovation isn’t just a buzzword, it’s our foundation. Career.zycto is at the forefront of AI-driven recruitment solutions, revolutionizing how companies discover and secure top talent. We thrive on complex challenges, leveraging cutting-edge machine learning and robust systems engineering to create intelligent platforms. For an AI Systems Engineer, this means unparalleled opportunities to design, build, and deploy high-impact solutions that directly shape the future of countless professional journeys. Join a forward-thinking team committed to pushing technological boundaries and fostering significant professional growth within a collaborative environment.
Job Description
Are you a visionary AI Systems Engineer ready to shape the future of intelligent systems? Career.zycto is seeking a highly skilled and passionate individual to join our dynamic team in Wylde Green, Birmingham. In this pivotal role, you will be instrumental in designing, developing, and deploying robust and scalable artificial intelligence systems that power our next-generation recruitment solutions. This isn’t just about writing code; it’s about architecting sophisticated AI infrastructures that can handle vast datasets, execute complex machine learning models efficiently, and deliver real-time, actionable insights to our global client base. We are building systems that learn, adapt, and significantly enhance the hiring process for millions.
You will bridge the gap between cutting-edge research and production-ready applications, collaborating closely with data scientists, machine learning engineers, and our core platform teams. Your expertise will ensure that our AI models are not only performant, accurate, and secure, but also seamlessly integrated and highly maintainable within our existing cloud-native ecosystem. This includes everything from optimizing model inference and data pipelines to implementing advanced MLOps practices that guarantee continuous delivery, reliability, and robust monitoring. We are looking for someone who thrives on solving intricate technical challenges, possesses a deep understanding of distributed systems and cloud architectures, and is eager to contribute to a product that truly makes a transformative difference in people’s lives and careers.
This role demands a blend of exceptional software engineering prowess, a profound understanding of machine learning principles, and a strong commitment to operational excellence. You will contribute to the entire lifecycle of our AI products, from initial concept and architectural design to deployment, monitoring, and iterative improvement based on performance metrics and user feedback. If you are passionate about building intelligent systems from the ground up, have a strong bias for action, and want to work in an environment where your contributions have a direct and measurable impact, then Career.zycto is the place for you. We foster a culture of innovation, continuous learning, and mutual support, empowering our engineers to take ownership and lead transformative projects that truly push the boundaries of what’s possible in AI. Come and help us redefine the landscape of talent acquisition through the immense power of artificial intelligence.
Key Responsibilities
- Design, develop, and deploy highly scalable and robust AI systems and infrastructure components.
- Implement and optimize machine learning pipelines, including data ingestion, feature engineering, model training, and inference serving.
- Collaborate closely with data scientists and ML engineers to transition experimental models into production-ready applications.
- Establish and maintain MLOps practices, including CI/CD for AI solutions, model versioning, and performance monitoring.
- Monitor, troubleshoot, and optimize the performance, reliability, and security of deployed AI services.
- Contribute to architectural decisions for core AI platform components and future system enhancements.
- Ensure data security, privacy, and compliance across all AI systems and data handling processes.
- Stay abreast of new technologies, frameworks, and trends in artificial intelligence, machine learning, and distributed systems.
Required Skills
- Proficiency in Python, Java, or a similar high-performance language.
- Strong experience with major cloud platforms (AWS, Azure, or GCP).
- Deep understanding of machine learning principles, algorithms, and model lifecycle management.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proven experience with containerization technologies (Docker, Kubernetes).
- Practical knowledge of MLOps tools and best practices for continuous integration and deployment of AI models.
- Experience with distributed systems architecture and microservices.
- Solid understanding of database technologies, both SQL and NoSQL.
- Excellent problem-solving abilities and strong communication skills.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
- Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
- Previous experience in the recruitment or HR technology sector.
- Contributions to open-source machine learning or AI projects.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Generous annual leave allowance plus bank holidays.
- Comprehensive private medical insurance.
- Life assurance and critical illness cover.
- Company pension scheme with enhanced employer contributions.
- Significant opportunities for professional development, including training budgets and conference attendance.
- Modern, collaborative office environment with excellent transport links.
- Flexible working options to support work-life balance.
- Regular team social events and company-wide celebrations.
- Employee assistance program for well-being support.
How to Apply
If you are ready to make a significant impact in a fast-paced and innovative environment, we encourage you to apply. Please click on the application link below to submit your resume and cover letter. We look forward to reviewing your qualifications and exploring how you can contribute to Career.zycto’s success.
