Senior Machine Learning Engineer

The company

Local news, classifieds and event listings for Florida make up the core of the site. Two million people a month visit our recipe and meal planning site, which earns money from ads and a paid membership.

Overview

We are creating this position because the workload has grown. ML engineering role focused on pipelines, serving and monitoring. You'll work alongside data scientists rather than replace them. The company is based in Miami, the US. Our team works from several countries. We hire in Sri Lanka through an employer of record, so this is a regular full-time job with local payroll and statutory benefits. You will need at least 4 hours of overlap with US Eastern time. A quiet workspace and good internet are required.

What you'll do

• Monitor models for drift, data quality issues and latency regressions.
• Fine-tune open-weight models with LoRA when it beats prompting.
• Track experiments, artifacts and versions in MLflow or Weights & Biases.
• Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers.
• Maintain feature pipelines and a feature store such as Feast or Tecton.
• Document model cards, data sources and known failure modes.
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow.
• Handle on-call for the ML services the team owns.

You'll need

• 5+ years of software engineering experience, with at least two spent on ML systems in production.
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• Experience deploying models as services and monitoring them.

What you get

• Health insurance through our employer-of-record partner.
• Public holidays observed per your country.
• 20 days paid time off.

Candidates must be eligible to work in Sri Lanka.

This posting may close early if we receive enough applications.

Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Shaleshore Labs LLC.