About Company
Pioneering AI solutions requires bold vision and exceptional talent. At Hiring.zycto, we’re building the future, one intelligent system at a time. We empower AI Engineers like you to push the boundaries of machine learning, providing a collaborative environment where innovation thrives. Here, your expertise in model training and automation will directly impact cutting-edge projects, shaping products that redefine industries. Join a team dedicated to excellence, continuous learning, and making a tangible difference through groundbreaking artificial intelligence. We believe in fostering creativity and technical mastery to solve complex challenges.
Job Description
Are you a visionary AI Engineer with a passion for transforming raw data into intelligent, automated systems? Hiring.zycto is seeking a highly skilled and motivated AI Engineer specializing in Model Training & Automation to join our innovative team in Edinburgh. In this pivotal role, you will be at the forefront of developing, optimizing, and deploying state-of-the-art machine learning models across various applications. Your work will directly contribute to our core product offerings, driving efficiency, accuracy, and scalability through advanced AI solutions.
This position demands a deep understanding of the full machine learning lifecycle, from data ingestion and feature engineering to model selection, hyperparameter tuning, and robust deployment. You will be responsible for designing and implementing automated pipelines for model training, validation, and monitoring, ensuring our AI systems are always performing at their peak. We are looking for someone who thrives in a dynamic environment, possesses strong problem-solving skills, and is eager to tackle complex technical challenges with creative solutions.
You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical specifications and deliver high-impact AI features. A significant part of your role will involve enhancing our MLOps practices, improving our infrastructure for continuous integration and continuous deployment of AI models. If you are passionate about building scalable, reliable, and intelligent systems, and you’re ready to make a significant impact on an exciting product, we encourage you to apply. This is an unparalleled opportunity to shape the future of AI within a supportive and forward-thinking organization.
Key Responsibilities
- Design, develop, and implement advanced machine learning models for various applications.
- Build and maintain robust, automated pipelines for model training, evaluation, and deployment.
- Optimize model performance, accuracy, and inference speed through meticulous tuning and experimentation.
- Collaborate with data scientists to transition research prototypes into production-ready systems.
- Implement and improve MLOps practices for continuous integration, delivery, and monitoring of AI models.
- Ensure the scalability, reliability, and security of AI infrastructure and deployed models.
- Conduct thorough testing and validation of models, identifying and resolving performance bottlenecks.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning, applying relevant techniques.
- Document technical designs, model architectures, and operational procedures clearly and concisely.
Required Skills
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms and deep learning architectures.
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Sagemaker).
- Solid experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.
- Proficiency in data manipulation and processing using SQL and Python data libraries (Pandas).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Experience with version control systems (Git).
- Excellent problem-solving skills and a strong analytical mindset.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with large-scale data processing frameworks (e.g., Spark).
- Familiarity with DevOps principles and CI/CD pipelines beyond MLOps.
- Knowledge of advanced optimization techniques for machine learning models.
- Prior experience in real-time inference systems and low-latency model serving.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible working arrangements.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge AI technologies and resources.
- Collaborative and inclusive work environment.
- Regular team-building events and social gatherings.
- Pension scheme contributions.
- Cycle to Work scheme.
How to Apply
Ready to shape the future of AI with Hiring.zycto? We encourage you to click on the application link below to submit your resume and cover letter. Tell us why your skills and experience make you the ideal candidate for this exciting AI Engineer role. We look forward to reviewing your application!