ML Systems Engineer
Posted about 13 hours ago
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: ML Systems Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $145,000–$165,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking a ML Systems Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field.
- Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
- Strong proficiency in Python and a systems language such as Go, Rust, or C++.
- Deep experience operating high-throughput, low-latency services in production.
- Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
- Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
- Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
- Experience with observability stacks including metrics, tracing, and structured logging.
- Solid grounding in performance engineering and capacity planning.
- Strong communication and incident response skills.
Preferred Qualifications
- Open-source contributions to model serving infrastructure.
- Experience with multi-region or globally distributed AI serving.
- Familiarity with model quantization, distillation, and compression techniques.
- Exposure to FinOps for AI workloads and cost-efficient serving design.
- Experience supporting external-facing AI APIs at scale.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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Bright Vision Technologies is a minority-owned, product-focused AI technology company headquartered in Bridgewater, New Jersey. Founded in July 2020, we are a pure-play product engineering firm dedicated to transforming the staffing and enterprise automation industries through our flagship platform — Lumina. Lumina is an advanced AI-powered talent intelligence and enterprise automation platform that integrates artificial intelligence, hybrid cloud, and blockchain technologies to revolutionize how organizations source talent and automate complex workflows. What Lumina delivers: - AI-driven candidate sourcing, semantic resume matching, and intelligent ranking - Generative AI and Large Language Model orchestration with LangChain and RAG-based architecture - Automated recruiter assistant and workflow automation - Blockchain-enabled credential verification and tamper-proof digital identity - Advanced optimization for talent supply chain, workforce planning, and resource allocation - Enterprise-grade security with role-based access, encryption, and comprehensive audit logging - Seamless integration with CRM, ERP, HRMS, ATS, and legacy enterprise systems Built on a scalable microservices architecture with cloud-native deployment across AWS, Azure, GCP, and Red Hat OpenShift, Lumina is trusted by enterprises across financial services, healthcare, manufacturing, and retail — delivering efficiency improvements of 40–60% and measurable ROI within the first quarter of deployment. At Bright Vision, we are building the future of AI-powered talent intelligence — with a strong commitment to innovation, enterprise security, and U.S.-based job creation in AI engineering, product development, and go-to-market functions. Learn more at www.bvteck.com
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