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AI / Machine Learning Engineer
TriTalent Alliance
Engineering & Technology
Rest of Nigeria (Nationwide)
Confidential
- Minimum Qualification :
Job Description/Requirements
The project is fast-growing SaaS startup dedicated to connecting charities and non-profits with funders, currently built on React, C#, and .NET Core. We're now looking for a passionate AI/Machine Learning Engineer to help us take our mission to the next level—by making funder discovery smarter and automating time-consuming tasks for our users. You'll be instrumental in developing intelligent solutions that make finding funders effortless and automate document generation for our users.
Responsibilities:
- Design, develop, and deploy machine learning models to enhance funder matching accuracy within our extensive database.
- Implement AI-driven solutions for automated document generation (e.g., proposals, reports) leveraging existing user data.
- Collaborate closely with product, front-end (React), and back-end (.NET Core) teams to seamlessly integrate AI features into our SaaS platform.
- Perform data analysis, feature engineering, and model evaluation to continuously improve AI system performance.
- Research and apply cutting-edge AI/ML techniques, including Natural Language Processing (NLP), to solve real-world problems for our users.
- Establish and maintain MLOps practices for model deployment, monitoring, and retraining.
Requirements:
- Minimum of 3+ years of experience in Machine Learning Engineering or Data Science with a strong focus on deployment.
- Proven experience building and deploying production-ready ML models.
- Strong proficiency in Python for machine learning development.
- Experience with NLP techniques for information extraction, text generation, or semantic search.
- Familiarity with cloud platforms (Azure, GCP) and MLOps principles.
- Solid understanding of machine learning algorithms, data structures, and software development best practices.
- Excellent problem-solving skills and ability to translate business needs into technical solutions.
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
Bonus Points:
- Familiarity with fundraising, non-profit, or grant-making sectors.
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