Machine Learning Engineer
Location: Remote
Compensation: Piece Work
Reviewed: Tue, Oct 13, 2026
This job expires in: 30 days
Job Summary
Seeking a hands-on Machine Learning Engineer for a contract position, the successful candidate will design, build, and deploy NLP and LLM-based models for an AI-powered risk intelligence platform that helps enterprises detect and respond to online threats, working remotely with cross-functional teams.
Key Responsibilities:
- Design, train, and deploy ML models for text classification, entity extraction, and topic detection
- Build and improve LLM-powered features, including prompt design and retrieval-augmented generation
- Productionize models as scalable services while monitoring performance and quality over time
Required Qualifications:
- 4+ years of professional experience in building and deploying machine learning models in production
- Strong Python skills with hands-on experience in PyTorch, TensorFlow, or Hugging Face Transformers
- Practical NLP experience, including classification and named entity recognition on real-world text data
- Experience deploying ML services on AWS, GCP, or Azure, using Docker and CI/CD
- Solid understanding of model evaluation metrics and production monitoring
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