AI/ML Engineer

🔥 0 minutes ago

🏛️ District of Columbia, New York, +1 more states – Remote

🏛️ District of Columbia – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote

💵 $80k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Hudson IT and Manpower

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🎯 Recruiter

☁️ SaaS

⚡ Energy

Recruitment • SaaS • Energy

Hudson IT and Manpower is a dynamic company providing a range of services including IT staffing, software solutions, and comprehensive recruitment services for the energy, construction, and various technical industries. Specializing in digital interactive solutions, their expertise encompasses application development, cloud services, cybersecurity, and more, aimed at empowering businesses to achieve greater efficiency and growth. With a commitment to quality and innovative practices, Hudson IT and Manpower is dedicated to sourcing top talent and delivering custom software tailored to the unique needs of their clients, ensuring seamless integration and sustainable success.

📋 Description

• Debug and troubleshoot complex deployment and integration challenges across customer environments • Work directly with customer engineering and platform teams to deploy and operationalize AI systems • Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance platforms • Deploy and support AI evaluation frameworks, observability solutions, and guardrail implementations • Translate customer deployment challenges into actionable feedback for product and engineering teams • Partner with engineering, infrastructure, security, risk, compliance, and operations stakeholders to navigate enterprise governance requirements • Drive successful customer adoption of AI infrastructure solutions while balancing technical and business requirements

🎯 Requirements

• 3–8 years of professional experience after completing an undergraduate degree • Strong software engineering background with experience in: Distributed Systems, Kubernetes, APIs, Platform Engineering, Enterprise Integrations, Infrastructure Engineering or DevOps experience within a startup, consulting firm, or technology-focused organization • Customer-facing deployment or implementation experience • Ability to communicate effectively with engineering, security, compliance, and infrastructure teams • Strong scripting and coding skills with the ability to read, understand, and write clean code • Ability to independently navigate complex technical and organizational environments • Comfortable working in East Coast U.S. time zones • Available for occasional evening meetings to support global collaboration

🏖️ Benefits

• Fully remote work environment with strong growth potential and long-term career advancement opportunities • High-visibility role with significant ownership and direct exposure to company leadership • Opportunity to work on cutting-edge AI infrastructure, observability, governance, and deployment challenges • Direct impact on enterprise AI adoption across regulated industries • Influence deployment best practices, customer success strategies, and product direction