senior machine learning engineer [up to 20k].

about the job

• design, train, and deploy production-grade ML models.
• build robust, automated CI/CD pipelines for model training, evaluation, and serving using containerization (Docker, Kubernetes) and cloud-native tools.
• collaborate with other teams to build and manage the data pipelines necessary for ML workflows, ensuring data quality and integrity from various sources.
• leverage LLMs and advanced NLP techniques to extract insights from unstructured data, automate complex business processes, and build intelligent solutions

knowledge, skills and experience

• proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, XGBoost).
• strong experience with deep learning frameworks (PyTorch).
• hands-on experience building with LLMs, including prompting, RAG, and fine-tuning.
• experience with Hugging Face for sourcing, fine-tuning, and implementing pre-trained models for NLP and other tasks.
• strong skills in cloud platforms, preferably AWS.