Machine Learning Engineer
AI summary
SRHIN is hiring a Machine Learning Engineer to build and deploy ML models that support health data analysis, predictive insights, and programme decision-making. The role involves preparing datasets, designing and training models, deploying them into production, and collaborating with data and research teams. Candidates need 2–3 years of ML engineering experience and strong Python skills.
- Build and deploy ML models for health data analysis and decision-making
- 2–3 years of machine learning engineering experience required
- Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch
- Experience with health or social data is an advantage
- Online application link provided for interested candidates
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
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 engineer, data professional, machine learning engineerThe 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 Machine Learning 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 engineer, data professional, machine learning engineer, 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.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Machine Learning Engineer role in engineer, data professional?
- 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
Build and deploy machine learning models that support SRHIN's health data analysis, predictive insights, and programme decision-making. Key Responsibilities: Document model development processes and maintain version control. Prepare and process datasets for model development. Deploy models into production and monitor performance. Collaborate with data and research teams to translate research questions into ML solutions. Design, train, and evaluate machine learning models for various organisational use cases. Required Qualifications & Experience: 2–3 years' experience: in machine learning engineering. Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, or a related field. Strong understanding of statistics, data structures, and algorithms. Experience: with health or social data is an advantage. Proficiency in Python and ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch). How to Apply Interested and qualified candidates should: Click here to apply online View all Jobs in Nigeria Oyo State Machine Learning Engineer job vacancies in Nigeria