About Company
Pioneering the future, Hiring.zycto is at the forefront of AI innovation, crafting intelligent solutions that transform industries globally. We empower our teams to push technological boundaries, fostering an environment where cutting-edge research meets practical application. For an AI Engineer focused on model training and automation, we offer unparalleled opportunities to work with diverse datasets, advanced algorithms, and robust MLOps practices. Join a collaborative culture where your expertise directly contributes to groundbreaking AI products, accelerating development cycles and ensuring scalability. Here, your drive to automate and optimize will find its ultimate canvas.
Job Description
Hiring.zycto is seeking a highly skilled and passionate AI Engineer with a strong focus on model training and automation to join our dynamic team in Heeley, Sheffield. In this pivotal role, you will be instrumental in advancing our artificial intelligence capabilities, specifically by designing, developing, and implementing robust pipelines for training, evaluating, and deploying machine learning models at scale. You will bridge the gap between AI research and production systems, ensuring our innovative solutions are not only cutting-edge but also efficient, reliable, and scalable in real-world applications.
This position calls for a professional who thrives on optimizing complex processes and building intelligent automation across the entire machine learning lifecycle. You will be responsible for streamlining operations from data ingestion and feature engineering to model selection, hyperparameter tuning, validation, and continuous integration/continuous deployment (CI/CD) for AI models. Your expertise will be crucial in developing automated testing frameworks for models and data, ensuring data integrity and model robustness prior to production release. You will also monitor deployed models for performance degradation, drift, and bias, implementing automated retraining and update mechanisms to maintain optimal functionality. Your work will directly contribute to accelerating our product development cycles, enhancing model performance across various applications, and significantly reducing operational overhead. We are looking for someone who is excited by the prospect of working with diverse, often large-scale, datasets, experimenting with various deep learning and machine learning algorithms, and implementing industry best practices in MLOps.
You will collaborate closely with data scientists, software engineers, and product managers to understand project requirements, translate complex AI concepts into technical specifications, and deliver high-quality, production-ready AI solutions. A deep understanding of machine learning principles, coupled with extensive hands-on experience in building and automating sophisticated training infrastructures on cloud platforms, is essential. The ideal candidate will possess a keen eye for detail, a proactive problem-solving attitude, and a steadfast commitment to writing clean, maintainable, and well-documented code that adheres to high engineering standards. Join Hiring.zycto and play a critical role in shaping the future of AI, making a tangible impact on our products and our customers’ experiences. We offer a challenging yet rewarding environment where continuous learning, knowledge sharing, and professional growth are highly encouraged, supported by a team that values innovation and collaboration. This is an opportunity to directly influence our AI strategy and bring groundbreaking ideas from conception to reality.
Key Responsibilities
- Design, develop, and maintain automated pipelines for machine learning model training, evaluation, and deployment.
- Implement MLOps best practices to streamline the entire machine learning lifecycle, from experimentation to production.
- Collaborate with data scientists to translate research models into scalable, production-ready systems.
- Develop and integrate automated testing, monitoring, and alerting for AI models to ensure performance and reliability.
- Optimize model training processes for efficiency, speed, and resource utilization.
- Manage and maintain robust data pipelines for feature engineering and dataset preparation.
- Ensure model versioning, reproducibility, and compliance with ethical AI guidelines.
- Research and integrate new tools and technologies to enhance our AI infrastructure and capabilities.
- Troubleshoot and resolve issues related to model performance, data quality, and system stability in production environments.
- Contribute to documentation, code reviews, and knowledge sharing within the engineering team.
Required Skills
- Proficiency in Python and core data science libraries (NumPy, Pandas, Scikit-learn).
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Demonstrable experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Sagemaker, Azure ML).
- Solid understanding of cloud platforms (AWS, Azure, GCP) for deploying and managing ML workloads.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD pipelines for machine learning models.
- Knowledge of data processing and ETL tools (e.g., Spark, Airflow).
- Excellent problem-solving skills and ability to work independently or as part of a team.
- Strong communication skills for collaborating with cross-functional teams.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience with distributed training frameworks and techniques.
- Familiarity with GPU-accelerated computing.
- Understanding of model interpretability, fairness, and bias detection techniques.
- Contributions to open-source ML projects or active participation in the ML community.
- Experience working with real-time inference systems.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible working arrangements.
- Pension scheme with company contributions.
- Opportunities for continuous learning and professional development (conferences, courses, certifications).
- Modern office environment with ergonomic workstations.
- Free on-site gym access and wellness programs.
- Regular team social events and company-sponsored activities.
- Complimentary snacks, beverages, and Friday lunches.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and cover letter. Please highlight your experience with AI model training and automation.