Job Url: https://www.remoterocketship.com/company/pearltalent/jobs/machine-learning-engineer-python-united-states-remote Job Description: Catena Website LinkedIn All Job Openings Catena, now known as Pearl Talent, is a company that specializes in helping organizations hire top remote talent from overseas, primarily focusing on candidates from the Philippines and Latin America. They offer a rigorous vetting process to ensure they provide highly capable candidates equipped with modern software skills and fluent English proficiency. Pearl Talent provides two main hiring services: Managed Services, which handles compliance, payroll, and training, and Direct Placement for companies that manage hires internally. They focus on long-term retention and quality in their hiring processes, aiming to build high-performing remote teams for a range of industries including healthcare, real estate, and finance. 2 - 10 employees πŸ‘₯ HR Tech 🏒 Enterprise 🎯 Recruiter Machine Learning Engineer, Python 22 hours ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ”™ Backend Engineer Keras Linux Python PyTorch Scikit-Learn Shell Scripting Tensorflow Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Train and evaluate ML models using common machine learning frameworks in Python. Examples include TensorFlow, Keras, scikit-learn, or PyTorch. β€’ Develop and refine NLP pipelines (e.g., tokenization, entity recognition, similarity models). β€’ Perform fine-tuning and prompt engineering for LLMs (GPT, Claude, etc.). β€’ Create semantic search and recommendation models using vector embeddings and clustering techniques. β€’ Conduct experiments, hyperparameter tuning, and performance benchmarking. β€’ Collaborate with software engineers to integrate models into backend systems. β€’ Prepare clear documentation, model cards, and evaluation reports 🎯 Requirements β€’ Strong proficiency in Python for machine learning and data processing. β€’ Experience with NLP libraries: spaCy, Hugging Face Transformers, gensim, nltk. β€’ Comfortable training deep learning models using Keras, TensorFlow, or PyTorch. β€’ Ability to design and execute ML experiments, evaluate models, and interpret results. β€’ Familiar with version control (Git), shell scripting, and Linux development environments. β€’ Basic back end software engineering skills, such as creating and managing endpoints, database services, and task queues. β€’ Experience with production environments (e.g., batch inference, model packaging). β€’ Experience with MLOps tools (e.g., MLflow, SageMaker, DVC). β€’ Contributions to Kaggle competitions, AI research, or open-source ML/NLP projects. β€’ Background in classical ML, unsupervised learning, or semantic modeling. β€’ Fully remote, must be able to collaborate during EST hours. β€’ Work closely with backend/frontend engineers, but not expected to build application UIs. β€’ Focused environment for pure AI/ML development, research, and delivery. πŸ–οΈ Benefits β€’ Professional Development: Annual learning budget for books, courses, and conferences β€’ Mentorship: Learn directly from startup veterans (ex-Looker, GitHub, Mulesoft) β€’ Impact: Help shape a growing brand with a voice that influences fintech innovation β€’ Inspiring Workspaces: Offices in Berlin, New York, and London, with travel opportunities β€’ Flat Hierarchy: Work directly with founders and have your ideas heard β€’ Flexible Work Setup: Equipment of your choice, strong home office support Apply Now Similar Jobs