Machine Learning (Python) Engineer
Description For Machine Learning (Python) Engineer
Pearl Talent is seeking a Senior Machine Learning Engineer to join their team in a fully remote capacity. The role focuses on developing and implementing sophisticated ML and NLP solutions for their PropTech/Real Estate Technology platform. The ideal candidate will work with cutting-edge ML frameworks, develop NLP pipelines, and handle LLM fine-tuning. This position offers the opportunity to work with venture-backed startups while maintaining a flexible work arrangement. The company provides comprehensive benefits including education budgets, mentorship from industry veterans, and retention bonuses. The role requires collaboration during EST hours and offers the chance to shape key technical systems from day one. Pearl Talent has a strong track record of connecting top talent with well-funded US and EU startups, making this an excellent opportunity for career growth in the ML/AI space.
Responsibilities For Machine Learning (Python) Engineer
- Train and evaluate ML models using common machine learning frameworks in Python
- Develop and refine NLP pipelines
- Perform fine-tuning and prompt engineering for LLMs
- Create semantic search and recommendation models
- Conduct experiments, hyperparameter tuning, and performance benchmarking
- Collaborate with software engineers to integrate models into backend systems
- Prepare clear documentation, model cards, and evaluation reports
Requirements For Machine Learning (Python) Engineer
- Strong proficiency in Python for machine learning and data processing
- Experience with NLP libraries: spaCy, Hugging Face Transformers, gensim, nltk
- Comfortable training deep learning models using Keras, TensorFlow, or PyTorch
- Ability to design and execute ML experiments, evaluate models, and interpret results
- Familiar with version control (Git), shell scripting, and Linux development environments
- Basic back end software engineering skills
- Experience with production environments
Benefits For Machine Learning (Python) Engineer
- Annual learning budget for books, courses, and conferences
- Mentorship from startup veterans
- Offices in Berlin, New York, and London, with travel opportunities
- Equipment of choice
- Strong home office support
- Retention bonuses at 3, 6, 9, and 12 months
- Annual retreat
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