About Company
Ready to shape the future of intelligent systems? At Career.zycto, we’re not just building software; we’re crafting innovative AI-driven solutions that transform industries and empower human potential. We are an agile, forward-thinking technology firm based in the vibrant heart of Toxteth, Liverpool, dedicated to pushing the boundaries of what’s possible with artificial intelligence. Joining our team means you’ll contribute to projects that demand creativity, technical excellence, and a passion for integrating cutting-edge AI into real-world applications. We foster a collaborative environment where an AI Integration Engineer can thrive, bringing their vision to life with direct impact.
Job Description
Career.zycto is at the forefront of leveraging artificial intelligence to drive innovation across various sectors. As an AI Integration Engineer, you will be a pivotal force in bridging the gap between cutting-edge AI research and real-world application. Your expertise will be crucial in designing, developing, and deploying robust and scalable solutions that seamlessly embed AI models and algorithms into our existing product ecosystem and client platforms. This isn’t just about coding; it’s about engineering the future, ensuring our intelligent systems are not only powerful but also reliable, efficient, and user-friendly.
You will be instrumental in transforming complex machine learning models developed by our data scientists into production-ready services. This involves building and maintaining highly performant APIs, microservices, and data pipelines that facilitate smooth data flow and model inference. A significant part of your role will involve working with cloud platforms (AWS, Azure, or GCP) to architect solutions that can handle large volumes of data and requests, ensuring our AI applications are always available and responsive. We’re looking for someone who thrives on challenges, can troubleshoot complex system interactions, and possesses a deep understanding of both software engineering principles and the intricacies of machine learning.
Collaboration is key at Career.zycto. You will work closely with a diverse team including data scientists, machine learning engineers, product managers, and front-end developers. Your insights will directly influence architectural decisions, technology choices, and the overall strategy for integrating AI capabilities. You’ll also be responsible for ensuring the maintainability, security, and compliance of all integrated AI components, adhering to best practices in MLOps and software development. If you are passionate about AI, possess a strong engineering mindset, and are eager to make a tangible impact by bringing intelligent solutions to life, we encourage you to apply. This role offers an unparalleled opportunity to grow your skills, contribute to groundbreaking projects, and shape the next generation of AI-powered services right here in Toxteth, Liverpool.
Key Responsibilities
- Design, develop, and implement scalable and robust AI integration solutions into existing software systems and platforms.
- Develop and maintain high-performance APIs, microservices, and data pipelines for deploying and managing AI models in production.
- Collaborate closely with data scientists and machine learning engineers to translate AI/ML models into deployable code.
- Optimize AI model inference, performance, and efficiency, ensuring seamless operation in real-time environments.
- Architect and implement cloud-native solutions on platforms such as AWS, Azure, or Google Cloud Platform for AI applications.
- Ensure data security, privacy, and compliance throughout the AI integration lifecycle.
- Troubleshoot, debug, and resolve complex technical issues related to AI model deployment and integration.
- Document technical specifications, architecture designs, and operational procedures for integrated AI systems.
- Stay abreast of the latest advancements in AI/ML technologies, tools, and best practices, proactively recommending improvements.
Required Skills
- Proficiency in programming languages like Python (strong emphasis), Java, or Go.
- Demonstrable experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- Strong background in API development (RESTful, GraphQL) and microservices architecture.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) including services for compute, storage, and machine learning.
- Familiarity with containerization technologies (Docker, Kubernetes) for deployment and orchestration.
- Solid understanding of database systems (SQL, NoSQL) and data warehousing concepts.
- Experience with version control systems (Git) and collaborative development workflows.
- Excellent problem-solving abilities and a strong analytical mindset.
- Ability to work effectively in a fast-paced, agile development environment.
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience with MLOps tools and practices for model lifecycle management, monitoring, and retraining.
- Knowledge of streaming data technologies (e.g., Kafka, Spark Streaming) for real-time AI applications.
- Familiarity with CI/CD pipelines and automated testing for AI-driven systems.
- Experience with distributed systems and big data technologies.
- Contribution to open-source projects in AI/ML or related fields.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and public holidays.
- Budget for professional development, conferences, and certifications.
- Modern, collaborative office space in the heart of Toxteth.
- Flexible working hours and opportunities for work-life balance.
- Regular team-building events, social gatherings, and company outings.
- Contribution to a pension scheme.
- Access to the latest AI technologies and tools.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their relevant experience and interest in the AI Integration Engineer role at Career.zycto.
