What are the responsibilities and job description for the NLP Engineer position at Hatch IT?
hatch I.T. is partnering with Babel Street to find an NLP Engineer Please see details below:
About the Role
This role bridges the gap between linguistic theory and practical AI applications. The NLP Engineer will be responsible for designing, developing, and deploying robust and scalable natural language processing (NLP) in their agentic AI systems. This involves not only recognizing NLP tasks and defining clear evaluation guidelines but also selecting the best technologies to solve complex problems and integrating them seamlessly into larger software applications.
About the Company
Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
\n- Bachelor’s degree in Computer Science, Linguistics, or a related field.
- 2-4 years of professional experience in NLP, AI software development, or a related role.
- Advanced proficiency in Python and relevant AI libraries/frameworks for working with language (e.g. Langchain, Pydantic AI, Hugging Face Transformers, PyTorch/TensorFlow).
- Strong understanding of software architecture, data structures, and design patterns.
- Data sciences experiences, preferably for linguistics: data annotation, guideline design, and data quality evaluation.
- Proven ability to integrate ML models into production environments and experience with cloud services (AWS, Azure, or Google Cloud).
- Excellent communication skills, with the ability to explain complex linguistic and technical concepts to diverse audiences.
Salary : $90,000 - $125,000