hatch I.T. is partnering with Babel Street to find an NLP EngineerPlease 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 worlds 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 inReston Virginia withregionaloffices in BostonMAand Cleveland OH andinternationaloffices inAustralia Canada Israel Japan and the U.K.
What you will do:
The ideal candidate will write high-quality maintainable code enhance and optimize models and collaborate with product managers and stakeholders to translate project requirements into technical solutions. They will take theoretical ideas from linguistics and implement them as practical innovative text analytics and AI-driven features.You will enhance relationships with senior partners by adapting communication styles and often advising on complex matters requiring persuasion with those unfamiliar with the subject.
What you will bring:
- Bachelors 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
hatch I.T. is partnering with Babel Street to find an NLP EngineerPlease see details below:About the RoleThis 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...
hatch I.T. is partnering with Babel Street to find an NLP EngineerPlease 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 worlds 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 inReston Virginia withregionaloffices in BostonMAand Cleveland OH andinternationaloffices inAustralia Canada Israel Japan and the U.K.
What you will do:
The ideal candidate will write high-quality maintainable code enhance and optimize models and collaborate with product managers and stakeholders to translate project requirements into technical solutions. They will take theoretical ideas from linguistics and implement them as practical innovative text analytics and AI-driven features.You will enhance relationships with senior partners by adapting communication styles and often advising on complex matters requiring persuasion with those unfamiliar with the subject.
What you will bring:
- Bachelors 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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