AI/NLP Engineer

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October 23

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Newfire Global Partners

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B2B • Artificial Intelligence • Fintech

Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.

501 - 1000 employees

Founded 2016

🤝 B2B

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• Implement AI text processing pipelines using existing foundation models and frameworks • Fine-tune and adapt pre-trained models for client-specific data patterns and business contexts • Build data preprocessing pipelines that handle diverse document formats and data structures • Develop custom entity extraction, classification, and content understanding solutions • Integrate AI components with enterprise systems, databases, and business applications • Create evaluation frameworks to validate AI performance against business requirements • Collaborate with data scientists to operationalize exploratory models into production workflows • Support deployment and monitoring of AI systems in client environments • **Please note that employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.**

🎯 Requirements

• 2-4 years experience with NLP/AI engineering • Proficiency with modern AI frameworks (Hugging Face Transformers, LangChain, spaCy, PyTorch/TensorFlow) • Experience fine-tuning and deploying pre-trained language models • Strong Python programming skills and familiarity with ML engineering best practices • Experience with data preprocessing, model evaluation, and performance optimization • Knowledge of containerization (Docker) and cloud deployment platforms • Bachelor's degree in Computer Science, Engineering, Data Science, or related field • **Preferred:** • Previous work with domain-specific text data (healthcare, finance, legal, marketing, customer service) • Familiarity with enterprise systems and data standards • Experience with MLOps tools and model monitoring frameworks • Understanding of data privacy requirements and secure development practices • Exposure to industry-specific regulations and compliance frameworks • Contributions to AI or enterprise integration projects