AI / Machine Learning Engineer

Fredo specializes in software talent for private equity and venture capital-backed startups. We help clients scale efficiently by securing the right engineers, product leaders, and go-to-market experts—fast.

Note: This job description has been posted on behalf of our client.

Role Description

Our client is looking for an AI / Machine Learning Engineer to design and deploy models that power key product features like recommendations and chat interfaces. You'll work hands-on with data, build and ship production-ready models, and collaborate closely with product and engineering teams to deliver AI that drives real user impact.

• Design, train, and deploy machine learning models into real-world products
• Build and maintain data pipelines to support rapid iteration and experimentation
• Collaborate with product teams to prototype and launch AI-powered features
• Monitor and optimize model performance in production
• Stay current on emerging tools, frameworks, and techniques in ML and AI

• 4+ years of experience in applied machine learning or data science
• Strong Python skills and hands-on experience with ML libraries like PyTorch, TensorFlow, or Hugging Face
• Experience deploying models into production environments (beyond experimentation)
• Solid understanding of ML techniques, model evaluation, and trade-offs
• Comfort working with structured and unstructured data in real-world systems

Preferred Experience

• NLP, recommendation systems, or generative AI
• Experience with vector databases, embeddings, or retrieval-augmented generation (RAG)
• Domain experience in customer support, HR tech, or healthcare
• Exposure to ML operations (MLOps) practices or tools

• Flexible Work Hours
• Remote / Hybrid Work Options
• Vacation Days / Paid Time Off (PTO)
• Generous salary
• Flexible time off program

We’re committed to building a team where everyone feels welcome. At Fredo, we believe that diverse backgrounds and perspectives make us stronger. We encourage people of all identities, experiences, and communities to apply. What matters most to us is your talent, your attitude, and your willingness to grow with us.