About Company
Pioneering the next era of smart manufacturing, Career.zycto offers a dynamic environment where groundbreaking AI meets industrial application. We are a forward-thinking entity dedicated to optimizing complex operational challenges through innovative technology solutions. For an Industrial AI Engineer, this means unparalleled opportunities to design, implement, and scale AI-driven systems that directly impact efficiency and productivity across diverse industrial landscapes. Join us and shape the future of automated intelligence, working alongside a passionate team committed to technological excellence and real-world impact. Your expertise will directly contribute to tangible advancements.
Job Description
Are you an innovative Industrial AI Engineer passionate about transforming manufacturing and industrial processes through cutting-edge artificial intelligence? Career.zycto is seeking a highly skilled and driven individual to join our dynamic team in Speke, Liverpool. This is an exceptional opportunity to play a pivotal role in developing, implementing, and scaling AI-driven solutions that enhance operational efficiency, product quality, and safety across various industrial sectors.
In this crucial role, you will be at the forefront of integrating AI and machine learning into complex industrial environments. You’ll be responsible for the full lifecycle of AI projects, from conceptualization and data acquisition to model development, deployment, and ongoing optimization. This involves working closely with large, diverse datasets originating from IoT sensors, SCADA systems, and enterprise resource planning platforms. Your expertise will directly contribute to creating predictive maintenance systems that minimize downtime, intelligent quality control solutions that detect anomalies in real-time, and process optimization algorithms that boost throughput and reduce waste.
You will collaborate extensively with cross-functional teams, including process engineers, data scientists, and operational managers, translating intricate business challenges into feasible AI solutions. This demands not only strong technical acumen in machine learning and data engineering but also a deep understanding of industrial processes and a proactive approach to problem-solving. We envision someone who thrives in a collaborative environment, is eager to explore new technologies, and is committed to delivering tangible, measurable impacts.
Your day-to-day responsibilities will include designing robust data architectures, developing high-performance machine learning models, and integrating these models into existing operational technology infrastructures. You’ll also be instrumental in evaluating the performance of deployed models, iterating on improvements, and ensuring the long-term sustainability and scalability of our AI initiatives. If you are ready to apply your AI engineering prowess to real-world industrial challenges and contribute to shaping the future of smart manufacturing, Career.zycto offers a stimulating platform for your career growth.
Key Responsibilities
- Develop, deploy, and maintain AI/Machine Learning models for industrial applications such as predictive maintenance, quality control, and process optimization.
- Design and implement robust data pipelines for ingesting, cleaning, and transforming large datasets from industrial sensors, SCADA systems, and other operational technologies.
- Collaborate with process engineers, operational teams, and data scientists to identify AI opportunities and define clear project requirements and success metrics.
- Conduct research and rapid prototyping of new AI technologies, algorithms, and methodologies relevant to improving industrial efficiency and automation.
- Integrate developed AI solutions into existing production systems, ensuring seamless operation, scalability, and adherence to industrial standards.
- Monitor the performance of deployed AI systems, troubleshoot issues, and iterate on models to ensure continuous improvement and reliability.
- Ensure best practices in MLOps, software engineering, data governance, and ethical AI are followed throughout the project lifecycle.
- Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders.
Required Skills
- Proficiency in Python and strong experience with core AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
- Solid understanding of various machine learning algorithms, deep learning architectures, and statistical modeling techniques.
- Experience with industrial data sources and protocols (e.g., SCADA, historians, OPC UA, Modbus, MQTT).
- Proven ability to design and implement robust data pipelines and perform data engineering tasks.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI/ML model deployment and infrastructure management.
- Strong problem-solving skills and the ability to translate complex business problems into AI-driven solutions.
- Excellent communication skills, both written and verbal, for technical and cross-functional collaboration.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, Industrial Engineering, or a related discipline.
- Experience with MLOps tools and practices for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker).
- Previous experience working in a manufacturing, heavy industry, or industrial automation environment.
- Knowledge of real-time operating systems and embedded AI for edge computing applications.
- Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes.
- Experience with computer vision techniques for industrial inspection and quality control.
Perks & Benefits
- Competitive salary and performance-based bonus scheme.
- Comprehensive health, dental, and vision insurance coverage.
- Generous paid time off, including holidays and sick leave.
- Opportunities for continuous professional development, training, and certifications.
- Access to cutting-edge tools and technologies in a modern, collaborative work environment.
- Clear pathways for career growth and advancement within a growing organization.
- Employee assistance program for personal and professional support.
- Regular team-building events and social activities.
How to Apply
Ready to make a significant impact? We encourage all qualified candidates to click on the application link below to submit their resume and cover letter. Please highlight your relevant experience in industrial AI and your passion for innovation. We look forward to reviewing your application!
