Are you the kind of ML engineer who thinks beyond just training models? We’re building a network of exceptional ML engineers who want to work on meaningful, client-driven AI systems: from data to production.
At AI Flow, we help startups and mid-sized companies build real-world AI products, not just demos. You’ll work on systems that scale, with clients who value deep thinking and clean builds. Projects vary, from generative AI and intelligent automation to ML infrastructure and document intelligence pipelines.
Note: This is an application to join our vetted talent pool. While we’re actively growing the network, project availability depends on client needs. If you pass the interviews, we’ll match you with upcoming work. Open to both B2B freelancers and full-time employment. No agencies.
We’re looking for:
- 3–7+ years experience in ML and data pipelines
- Strong Python skills, clean code practices, and experience with PyTorch, TensorFlow, or scikit-learn
- Experience building end-to-end ML systems, not just isolated models
- Comfort with real-world data: cleaning, wrangling, and deploying
- Bonus: LLM pipelines, MLOps (e.g., Weights & Biases, MLflow, Docker, Airflow), vector databases, or RAG systems