Build intelligent agents for real-time comms, integrations, and workflows.
Develop dashboards, APIs & infrastructure exposing ML insights to non-technical teams.
Manage CI / CD pipelines, containers, and ML infra across CPU / GPU servers.
Requirements
3+ years in ML engineering / applied NLP.
DevOps know-how : CI / CD, Docker, version control.
Experience managing on-prem infrastructure in high-stakes environments.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology, Engineering, and Finance
Industries
Capital Markets
Technology
Information and Media
Engineering Services
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Machine Learning Engineer • Boston, MA, United States
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