Adelphi - Senior ML Engineer
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Requirements
• Proficiency in infrastructure management (Docker, Kubernetes, AWS). • Expertise in encryption, authentication, Linux systems administration, DevOps, or SRE. • Production experience launching agentic services and forward-deployed AI applications that drive operational value at the customer site. • Experience as a forward-deployed engineer or tech-led delivery role, embedded with mission customers, scoping problems, sequencing delivery, and shipping novel agentic applications under tight constraints • Experience with federated or privacy-preserving data architectures (such as differential privacy and secure enclaves).
Benefits
• Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan. • 401K with 2% company match. • $500 monthly Physical and Mental Health reimbursement program. • Unlimited time-off policy. • Competitive salary and equity compensation. • Opportunity to work on impactful projects in the national security sector. • Career growth and leadership opportunities in a dynamic, innovative environment.
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