ML Platform Engineer

Bright Vision Technologies

USonsite$100k/yrPosted Jul 13, 2026
Posting intelligenceActively listedReposted 6×, possible evergreen/ghost posting

Skills

kubernetespythonc++rustllmgoml

About the role

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

As we continue to grow, we’re looking for a skilled ML Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

ML Platform Engineer

Job Title: ML Platform Engineer

Location: 100% Remote (Continental United States)

Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)

Experience: 6+ years

Salary: 100k - 150k

Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.

Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)

Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap

Compensation: Competitive base salary commensurate with experience, plus benefits.

Employment Terms & Visa Policy

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.

This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.

We do not engage in C2C, 1099, or third-party arrangements for this role.

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.

Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.

No new H1B sponsorship is available for this role.

However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.

For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.

Job Summary

We are seeking a ML Platform 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.

Key Responsibilities

Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems

Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing

Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints

Build autoscaling and capacity management systems that balance latency, throughput, and cost

Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads

Integrate model serving with API gateways, identity systems, and observability platforms

Implement caching, prompt deduplication, and response reuse strategies where appropriate

Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking

Develop deployment workflows including canary releases, shadow testing, and automated rollback

Operate incident response for high-availability AI services and drive durable reliability improvements

Collaborate with ML and product teams to support new model releases and capability rollouts

Implement security controls including request signing, content filtering, and abuse detection at the serving layer

Document operational procedures, performance characteristics, and tuning guidance for internal teams

Stay current with AI serving research and translate advances into production capabilities

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 harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Position offered by “No Fee Agency.”

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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Compensation

This MLOps Engineer role pays $100k/yr. Within typical range for mlops engineer roles in United States.

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