Senior ML Engineer | Atlanta, GA | $160K - $200K
A healthcare technology company is building out its AI function from the ground up, and this is the first hire. You will have full autonomy over architecture decisions, tooling choices, and the direction of the ML platform. No committee. No inherited tech debt. Just a genuinely blank canvas and a high-impact problem to solve.
The focus is on applying LLMs and agentic AI to complex, document-heavy workflows in the healthcare payments space. Think multi-agent orchestration, fine-tuned small language models, RAG pipelines, and production-grade MLOps on GCP. This is not a maintain-and-monitor role. You will be designing and building the entire ML stack.
What you'll be working on:
Data pipelines for ingesting and structuring complex documents using OCR, NER, and relationship extraction. Fine-tuning open-source LLMs on domain-specific datasets. Building an agentic orchestration layer that routes queries across specialized model tools. Establishing MLOps practices including CI/CD, model versioning, and performance tracking.
Must haves:
- 5+ years in ML engineering with proven, hands-on production experience shipping and maintaining models at scale
- Demonstrable experience designing and building ML data pipelines end-to-end in production environments, not just in notebooks
- Deep Python skills and hands-on experience with PyTorch or TensorFlow
- Solid grasp of ML fundamentals across supervised, unsupervised, and deep learning approaches
- Experience with vector databases and RAG architectures
- Proficiency building and managing data pipelines using Spark, Kafka, SQL, or NoSQL
- Hands-on MLOps experience with tools such as MLflow, Kubeflow, or Airflow
- Cloud platform experience across AWS, Azure, or GCP
- Strong communication skills and comfort working cross-functionally
Nice to haves:
- Healthcare or highly regulated industry background
- Experience with knowledge distillation techniques
- GCP-specific experience (Vertex AI, GKE, Cloud Run)
- PhD in CS, ML, AI, Statistics, or a related field
Why it's interesting:
Founding ML hire with genuine ownership. State-of-the-art tech stack. Real-world stakes in a domain that matters.
If you're ready to take ownership of MLOps in a high-performing, real technology SaaS organization, press the Easy Apply button now!
