Machine Learning Engineer
About This Role
Ship ML systems from prototype to production including training pipelines and low latency inference.
Requirements
- 4+ years in ML engineering
- Strong Python and PyTorch or TensorFlow
- Experience building feature pipelines with Spark or dbt
- Model serving with FastAPI TorchServe or Triton
- Vector search familiarity using pgvector or Pinecone
- Experiment tracking and model registry with MLflow
- Evaluation design including offline and online metrics
- GPU performance basics and quantization techniques
- Monitoring drift and data quality
- CI CD for ML including reproducible builds
- Security considerations for model endpoints
Responsibilities
- Productionize models with clear SLAs
- Design offline training and online serving
- Partner with data engineering on features
- Instrument models for quality and fairness
- Run A B tests and ship improvements
- Document and evangelize ML best practices
Benefits & Perks
Ready to Apply?
Join our team and help build the future of digital products and talent placement.
Application typically takes 5-10 minutes
About NOBLESTARK
A forward-thinking technology company focused on building innovative digital products and talent placement solutions.
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