Sphere · 7 hours ago
ML/MLOps Engineer (Python, AWS)
Sphere is an insurance technology company seeking a ML/MLOps Engineer to contribute to production-grade AI systems. The role involves developing, maintaining, and deploying Python-based services, building ML pipelines, and ensuring the reliability and performance of AI applications.
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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
Qualification
Required
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
Preferred
Experience with MLOps platforms and automation tools
Real-time data pipelines
Experience with AI chatbots or retrieval-augmented generation (RAG) systems
Company
Sphere
Drive your sustainable digital transformation with focus on innovation and scale
H1B Sponsorship
Sphere has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase