AI / Machine Learning Engineer

TriTalent Alliance

Engineering & Technology

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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