Senior Machine Learning / NLP (Contractor)

Key Responsibilities

• check_circle Design, train, and deploy state-of-the-art Natural Language Processing (NLP) models to complement and scale our existing high-throughput data architecture.
• check_circle Build robust integration layers that allow new machine learning predictions to work seamlessly alongside our established production systems.
• check_circle Develop automated feedback loops and learning mechanisms that enable our systems to adapt, update, and improve over time with minimal manual intervention.
• check_circle Transition models from research/evaluation into full production, optimizing complex models for strict low-latency inference and high reliability.
• check_circle Establish rigorous evaluation benchmarks, automated testing harnesses, and monitoring dashboards to guarantee the accuracy and stability of ML implementations.

Revised Required Skills & Experience

• Deep theoretical and practical understanding of core NLP tasks, such as entity extraction, text classification, and contextual understanding.
• Proven experience training, fine-tuning, and deploying modern transformer-based models and encoding methods for complex text tasks.
• Strong track record of optimizing models for low-latency environments (e.g., batch inference, model distillation, hardware acceleration) and deploying them at scale.
• Expertise in designing ML evaluation frameworks, building gold-standard baseline datasets, and tracking performance metrics to identify and resolve edge cases.
• Experience combining probabilistic machine learning models with deterministic or legacy software architectures, including confidence scoring and A/B testing rollouts.
• Strong coding skills with a focus on writing clean, scalable code, creating technical documentation, and maintaining robust CI/CD pipelines for ML models.

About us