Natural Language Processing (NLP) Engineer
AI summary
SRHIN is hiring an NLP Engineer to design and develop natural language processing solutions supporting data analysis, research, and digital health initiatives. The role involves pre-processing unstructured text data, building and fine-tuning NLP models for classification, sentiment analysis, and information extraction, and collaborating with the research team on health and social research questions.
- Design and fine-tune NLP models for text classification, sentiment analysis, and information extraction
- Work with unstructured health and social research text data
- Minimum 2 years NLP or ML experience required
- Health or social science NLP experience is an advantage
- Bachelor's, Master's, or PhD in CS, Computational Linguistics, Data Science, or related field
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in Engineering, AI/ML, ResearchThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Natural Language Processing (NLP) Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Slum and Rural Health Initiative Network (SRHIN) and the role in Not specified.
- Add concrete examples related to Engineering, AI/ML, Research, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobzilla Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Jobzilla Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Natural Language Processing (NLP) Engineer role in Engineering, AI/ML?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Slum and Rural Health Initiative Network (SRHIN) before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Design and develop natural language processing solutions to support SRHIN's data analysis, research, and digital health initiatives. Key Responsibilities: Pre-process and analyse large volumes of unstructured text data (e.g. survey responses, health records, community feedback). Collaborate with the research team to apply NLP techniques to health and social research questions. Document methodologies and maintain reproducible workflows. Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, and related tasks. Evaluate and improve model performance and accuracy. Required Qualifications & Experience: Proficiency in Python and NLP libraries/frameworks (e.g. spaCy, NLTK, Hugging Face Transformers). Minimum of 2 years' experience: in NLP or related machine learning work. Experience: applying NLP in health or social science contexts is an advantage. Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, Data Science, or a related field. Strong understanding of language modelling and text data pipelines. How to Apply Interested and qualified candidates should: Click here to apply online View all Jobs in Nigeria Oyo State Natural Language Processing Engineer job vacancies in Nigeria