About Company
Imagine leveraging your AI expertise to redefine industry benchmarks. Career.zycto is a dynamic, forward-thinking tech innovator based in the heart of Birmingham, dedicated to pushing the boundaries of artificial intelligence. We thrive on complex challenges, transforming raw data into intelligent, automated solutions that deliver tangible impact for our diverse client base. For an AI Engineer passionate about hands-on model development, optimization, and deploying cutting-edge automation, Career.zycto offers an unparalleled platform for growth, collaboration, and making a significant technical contribution within a supportive, intellectually stimulating environment.
Job Description
This role at Career.zycto presents a unique opportunity for a talented and driven AI Engineer specializing in model training and automation to join our innovative team in Birmingham. You will be instrumental in designing, developing, and deploying advanced AI and Machine Learning models that address complex real-world problems across various sectors. As an AI Engineer focusing on Model Training & Automation, you will be at the forefront of our efforts to build robust, scalable, and efficient AI systems, from initial data exploration and feature engineering through to model deployment, monitoring, and continuous improvement.
You will be expected to possess a deep understanding of various machine learning algorithms, model architectures, and best practices in data science. A significant part of your responsibility will involve optimizing model performance, ensuring data integrity, and establishing automated pipelines for model training, validation, and deployment. This includes working with MLOps principles to streamline the entire lifecycle of our AI solutions. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical specifications and deliver high-quality, impactful AI-driven products.
We are looking for someone who is not only proficient in coding and machine learning theory but also possesses a strong analytical mind and an ability to troubleshoot complex systems. The ideal candidate will be passionate about staying current with the latest advancements in AI and MLOps, eager to experiment with new techniques, and committed to writing clean, maintainable, and well-documented code. Join us and contribute to a culture that values innovation, technical excellence, and collaborative problem-solving, making a tangible difference in the future of intelligent automation. Your work will directly influence the intelligence embedded within our core products, driving efficiency and innovation for our clients.
Key Responsibilities
- Design, develop, and implement machine learning models for various applications, focusing on robust training methodologies.
- Build and maintain automated pipelines for data ingestion, feature engineering, model training, validation, and deployment (MLOps).
- Optimize model performance, scalability, and efficiency across different environments.
- Collaborate with data scientists to translate research prototypes into production-ready AI solutions.
- Monitor deployed models for performance degradation, drift, and retraining needs, implementing necessary adjustments.
- Contribute to the selection and evaluation of new AI/ML technologies, frameworks, and tools.
- Ensure code quality, conduct peer reviews, and maintain comprehensive documentation for all AI solutions.
Required Skills
- Proficiency in Python and strong experience with relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying and managing ML workloads.
- Familiarity with MLOps principles and tools (e.g., Docker, Kubernetes, MLflow, Airflow).
- Strong problem-solving abilities and analytical thinking.
- Excellent communication and teamwork skills.
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).
- Familiarity with CI/CD pipelines for machine learning projects.
- Knowledge of distributed computing for model training.
- Experience with specific industry applications of AI (e.g., NLP, Computer Vision, Time-Series analysis).
- Certifications in cloud-based machine learning services.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive private health insurance.
- Generous pension scheme contributions.
- 25 days annual leave plus bank holidays.
- Continuous professional development opportunities, including training and conference allowances.
- Modern, collaborative office environment with excellent transport links.
- Regular team social events and company-sponsored activities.
- Flexible working options considered.
How to Apply
To apply for this exciting AI Engineer – Model Training & Automation role, please submit your detailed CV and a cover letter outlining your relevant experience and why you are the ideal candidate for Career.zycto. Kindly ensure your application highlights your expertise in model training, automation, and MLOps. Click on the application link below to proceed.
