<a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a> 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.<br><br>As we continue to grow, we’re looking for a skilled <strong>MLOps Engineer</strong> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br><br>This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br><br><b>Job Title:</b> MLOps Engineer<br><b>Location:</b> 100% Remote (Continental United States)<br><b>Position Type:</b> In-house <a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a> SOW engagement (no third-party client or vendor)<br><strong>Salary</strong> : $100K - $150K<br><b>Experience:</b> 6+ years<br><br><b>Employment Terms &amp; Visa Policy</b><br><b>This is a 100% remote, full-time, direct W2 position with <a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a>.</b><br><b>This role is part of <a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a>’ in-house Statement of Work (SOW) engagement.</b> The client, end customer, and employer for this position is <a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a> — there is no third-party client, vendor, or implementation partner involved.<br>We do not engage in C2C, 1099, or third-party arrangements for this role.<br><br><b>BUT STRICTLY NO C2C/1099. All our roles are W2.</b><br>Candidates must be willing to work directly as a full-time W2 employee of <a href="https://himalayas.app/companies/bright-vision-technologies">Bright Vision Technologies</a> and contribute to our in-house SOW deliverables.<br>No new H1B sponsorship is available for this role.<br><br><b>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.</b><br>For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.<br><br><b>Job Summary</b><br>We are seeking a MLOps 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 be