Machine Learning Engineer (MLOps)

About us

We run one of the larger SaaS platforms for commercial insurance carriers, processing millions of policy transactions a year. Public sector agencies, utilities and large health systems licence our asset management platform under multi-year contracts. Code review is required on every pull request, and nobody merges their own changes.

Our team is growing and we are hiring a Machine Learning Engineer (MLOps). This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. The Fraud team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. Contract role, full-time hours, paid in USD at the end of each month. You will need at least 4 hours of overlap with US Eastern time. Please make sure you have dependable internet and backup power.

Job duties

• Productionize data science prototypes without rewriting everything
• Handle on-call for the ML services the team owns
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM
• Monitor models for drift, data quality issues and latency regressions
• Cut inference cost with quantization, batching and caching
• Write clean, tested Python and review teammates' code
• Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers

About you

• Comfortable with SQL and large-scale data processing in Spark or Ray
• Strong Python and solid engineering habits (testing, packaging, code review)
• Knowledge of LLM APIs, prompt design and evaluation methods

Pay and benefits

Rate: $1,650-$2,250 monthly

• Monthly payments via wire transfer or Wise
• Company laptop
• Paid time off

Applications are reviewed on a rolling basis.

We may close the role early, so do not wait too long to apply.

Duration: 9 months. Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at BHH Apps, LLC.