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Machine Learning Engineer
1 week ago
Huspy group is a fast-growing proptech company in the EMEA region. We are developing an all-in-one super app designed to empower agents and mortgage brokers.
About the RoleWe are seeking an experienced Data Scientist to join our AI team. The ideal candidate will have hands-on experience with deep learning frameworks, a strong background in Python programming, and a proven track record in deploying models to production.
This role involves:
- Fine-tuning pre-trained large language models (LLMs) to meet domain-specific needs.
- Developing and implementing custom fine-tuning strategies to optimize model performance.
- Working with models designed for video generation and exploring techniques such as SVD-based approaches for dimensionality reduction and content synthesis.
- Collaborating with cross-functional teams to integrate video generation capabilities into product pipelines.
- Designing, building, and deploying predictive models to extract actionable insights from complex data.
- Continuously evaluating and refining prediction systems to improve accuracy and robustness.
- Analyzing large datasets to identify trends and patterns that drive model improvements.
- Experimenting with different architectures and hyperparameters to find optimal configurations.
- Documenting experiments and presenting findings to technical and non-technical audiences.
To be successful in this role, you will require:
- Educational background in Computer Science, Data Science, Machine Learning, or a related quantitative field.
- 2 to 4 years of industry experience in deep learning and AI model development.
- Proven experience in fine-tuning large language models (e.g., GPT, BERT) for real-world applications.
- Experience in training and deploying models for video generation or using singular value decomposition (SVD) techniques is highly desirable.
- Demonstrable track record in building and deploying predictive models.
- Proficient in Python with solid experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Familiarity with data processing, visualization, and model optimization tools.
- Experience with cloud-based AI platforms and containerization technologies.
- Exposure to reinforcement learning techniques and transfer learning.
- A proactive attitude and passion for staying up-to-date with the latest advancements in AI research and development.
