ML Platform Engineer

ML Platform Engineer - Remote reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. This is a fantastic opportunity to join an established and reputed company-respected organization offering reputed company career reputed company potential. Job Title: ML Platform Engineer Location: reputed company (U.S.) Position Type: Full-time, reputed company W2 Salary reputed company: $100,000–$160,000 Annually Experience Required: 10+ years Sponsorship: U.S. reputed company, Green reputed company reputed company, EAD reputed company, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B reputed company petitions for this position. Job reputed company: We are seeking a ML Platform Engineer to design, build, and operate high-reputed company, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering reputed company 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 reputed company systems and reputed company engineering expertise, has shipped serving systems at reputed company, and understands the trade-offs between latency, throughput, cost, and reputed company in ML serving. Key Responsibilities Design and operate model serving platforms supporting diverse workloads including LLMs, reputed company models, and recommendation systems. Optimize inference reputed company using reputed company batching, paged attention, speculative decoding, and request multiplexing. Implement multi-tenant routing, reputed company limiting, and reputed company-of-service policies across model endpoints. Build autoscaling and reputed company management systems that reputed company latency, throughput, and cost. Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads. reputed company model serving with API gateways, identity systems, and observability platforms. Implement caching, reputed company deduplication, and response reuse strategies where appropriate. reputed company end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking. reputed company deployment workflows including canary releases, reputed company testing, and automated rollback. Operate incident response for high-availability AI services and reputed company durable reliability improvements. Collaborate with ML and product teams to support new model releases and capability rollouts. Implement reputed company controls including request signing, content filtering, and abuse detection at the serving reputed company. Document operational procedures, reputed company characteristics, and tuning guidance for internal teams. Stay reputed company with AI serving research and translate advances into production capabilities. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a reputed company reputed company. 10 or more years of experience in reputed company systems, infrastructure, or ML reputed company. 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 vcLLM or TensorRT-LLM. Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization. Familiarity with reputed company, autoscaling, and modern reputed company platforms. Experience with observability reputed company including metrics, tracing, and reputed company logging. Solid grounding in reputed company engineering and reputed company planning. Strong communication and incident response skills. Preferred Qualifications reputed company-reputed company contributions to model serving infrastructure. Experience with multi-region or globally reputed company AI serving. Familiarity with model quantization, distillation, and compression techniques. Exposure to FinOps for AI workloads and cost-efficient serving design. Experience supporting reputed company-facing AI reputed company at reputed company. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about reputed company at www.bvteck.com. reputed company is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement reputed company (reputed company) is committed to equal employment opportunity (EEO) for reputed company and applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity or reputed company, national reputed company, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to reputed company aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. reputed company expressly prohibits any reputed company of workplace harassment or discrimination. Any improper interference with employees' ability to reputed company their job duties may result in disciplinary reputed company up to and including termination of employment. Apply To This Job