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SPHERE

ML/MLOps Engineer (Python, AWS)

SPHERE
United States · Full-time · Entry

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ML/MLOps Engineer (Python, AWS)

Remotely, Anywhere

We are looking for a ML / MLOps Engineer to contribute to production-grade AI systems within a fast-paced technology organization (insurance technology company). The team owns multiple customer-facing and internal AI applications, including real-time decisioning, operational automation, chatbots, and ML infrastructure.

Responsibilities

  • Develop, maintain, and deploy Python-based production services
  • Build and operate ML pipelines and MLOps infrastructure
  • Work with AWS services including Lambda, Step Functions, DynamoDB, Kafka, and containerized applications
  • Deploy, monitor, and maintain ML models (e.g., XGBoost) in production environments
  • Ensure reliability, correctness, and performance of AI systems
  • Ship code to production frequently (daily or near-daily)
  • Debug and resolve production issues efficiently
  • Collaborate with data scientists, product managers, and operational teams to support AI-driven products

Requirements:

  • Experience with Python (production-quality code)
  • Hands-on AWS experience (Lambda, Step Functions, DynamoDB, IAM, containers)
  • Experience with Kafka or other event-driven systems
  • Experience deploying ML models to production
  • Git / CI/CD experience

Nice to Have

  • Experience with MLOps platforms and automation tools
  • Real-time data pipelines
  • Experience with AI chatbots or retrieval-augmented generation (RAG) systems

Key Skills

Ranked by relevance

ai python mlops dynamodb kafka aws cicd
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Posted
Feb 11, 2026
Type
Full-time
Level
Entry
Location
North Miami Beach
Company
SPHERE

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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