About Company
Digital Applications International Ltd (DAI) is a dynamic and innovative technology firm based in the UK, with a significant presence in Liverpool. We specialize in crafting bespoke software solutions, driving digital transformation, and leveraging advanced analytics and artificial intelligence to empower businesses across various sectors. At DAI, we believe in the power of data to unlock unprecedented opportunities, and we are committed to building intelligent systems that are not only cutting-edge but also intuitive and impactful. Join a team where creativity, collaboration, and continuous learning are at the core of our success, as we shape the future of technology.
Job Description
Are you a visionary AI Engineer with a passion for transforming complex data into actionable intelligence and automated solutions? Digital Applications International Ltd (DAI) is seeking a talented and driven AI Engineer specializing in Model Training & Automation to join our pioneering team in Edge Hill, Liverpool. In this pivotal role, you will be instrumental in the end-to-end lifecycle of our artificial intelligence models, from meticulous data preparation and robust model training to seamless deployment and continuous optimization within production environments. You will architect, develop, and maintain scalable machine learning pipelines, ensuring efficiency, reliability, and performance across all stages of development.
Your expertise will be crucial in designing and implementing automation strategies for model retraining, monitoring, and validation, thereby enhancing the agility and responsiveness of our AI-driven products. We are looking for an individual who thrives on solving intricate problems, possesses a deep understanding of various machine learning algorithms, and is proficient in MLOps practices. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into sophisticated AI solutions that deliver tangible value. This role offers an exciting opportunity to work on diverse projects across multiple industries, pushing the boundaries of what’s possible with AI. If you are passionate about building intelligent systems, optimizing workflows, and contributing to a culture of innovation, we encourage you to apply and help us shape the future of AI at DAI.
Key Responsibilities
- Design, develop, and implement scalable machine learning models and pipelines for various applications.
- Automate the training, evaluation, deployment, and monitoring of AI/ML models in production.
- Develop and maintain robust MLOps practices, including version control for models, data, and code.
- Collaborate with data scientists and engineers to integrate AI models into existing software systems.
- Perform data preprocessing, feature engineering, and data augmentation to optimize model performance.
- Conduct thorough model validation, testing, and A/B experimentation to ensure reliability and accuracy.
- Research and evaluate new AI/ML technologies, frameworks, and methodologies to enhance our capabilities.
- Troubleshoot and resolve issues related to model performance, data pipelines, and deployment.
- Contribute to the continuous improvement of our AI infrastructure and development processes.
Required Skills
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning algorithms (e.g., supervised, unsupervised, deep learning).
- Experience with MLOps tools and practices for model deployment, monitoring, and versioning.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
- Solid experience with data processing and manipulation tools (e.g., Pandas, Spark).
- Proficiency in containerization technologies (e.g., Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Strong communication skills, both written and verbal.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with CI/CD pipelines for ML models.
- Knowledge of distributed computing frameworks.
- Familiarity with data visualization tools.
- Prior experience in specific industries like finance, healthcare, or logistics.
- Contributions to open-source ML projects or publications in relevant conferences.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and public holidays.
- Company pension scheme.
- Opportunities for professional development, training, and certifications.
- Modern office environment in a vibrant Liverpool location.
- Collaborative and inclusive company culture.
- Regular social events and team-building activities.
- Employee assistance program.
How to Apply
To embark on this exciting journey with Digital Applications International Ltd, please click on the application link below. We look forward to reviewing your application and exploring how your expertise can contribute to our innovative team.