Описание: Fractal is a strategic AI partner to Fortune 500 companies that aims to support enterprise decision-making with artificial intelligence and human-centered innovation.
Задачи
- Design, train, and optimise machine learning models for user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis
- Build and maintain robust, scalable data pipelines for feature engineering and model training using structured and unstructured large-scale datasets
- Deploy and supervise ML models in production environments to ensure high availability, performance, and continued relevance
- Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement
- Collaborate with multidisciplinary teams to align machine learning initiatives with business objectives and user needs
- Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration into existing systems
Требования
- Strong demonstrated experience with ML training frameworks, mainly TFX and Kubeflow Pipelines SDK, and model serving technologies such as TensorFlow Serving, Triton, and TorchServe
- Expertise in the full machine learning lifecycle, from model development, deployment, and serving to monitoring and maintenance
- Proficiency in Python and knowledge of ML libraries and frameworks such as TensorFlow and PyTorch
- Experience with high-volume data processing and real-time streaming architectures
- Strong understanding of recommendation system design and personalisation algorithms
- Familiarity with Generative AI and its applications in production settings
- Good communication and analytical problem-solving skills
- Nice to have: Experience working on OTT platforms, experience in Scala
Условия
12 Month FTC.
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ml engineer for enterprise decision-making employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
