MID/SENIOR AI ENGINEER

<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="7:1-7:19;181-199"> </h2> <h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold" data-sourcepos="7:1-7:19;181-199">About TensorOps</h2> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="9:1-9:315;201-515">TensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns. Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="11:1-11:339;517-855">We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months. We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design.</p> <h2><strong>About the role</strong></h2> <p>We're hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.</p> <p>In this role, you will:</p> <ul> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="21:1-21:137;1379-1515">Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients</li> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="22:1-22:112;1516-1627">Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration</li> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="24:1-24:129;1774-1902">Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions</li> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="25:1-25:110;1903-2012">Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing</li> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="26:1-26:89;2013-2101">Help shape internal best practices, tooling, and technical standards as the team grows</li> <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="27:1-27:111;2102-2212">Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences</li> </ul> <p>You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning. </p> <h2 class="font-claude-response-body break-words whitespace-normal"><strong>Requirements</strong></h2> <ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3"> <li class="font-claude-response-body whitespace-normal break-words pl-2"><strong>2+ years</strong> of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / <strong>5+ years</strong> for Senior</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience building GenAI &amp; LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Familiarity with MLOps &amp; production ML practices: model versioning, monitoring, CI/CD for ML workflows</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience deploying and scaling ML systems on AWS, GCP, or Azure</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience working with stakeholders or clients is a plus</li> </ul> <h2><strong>What We Offer</strong></h2> <ul> <li><strong>100% Remote Work</strong>: no mandatory office days, work from wherever</li> <li><strong>Funded certifications:</strong> fully paid AWS and GCP professional certifications</li> <li><strong>Dynamic, High-Impact Projects</strong>: Work on cutting-edge ML and GenAI solutions across diverse industries</li> <li><strong>International Clients</strong>: Collaborate with global organizations and solve real-world challenges at scale</li> <li><strong>Urban Sports Club Membership</strong>: Supporting your physical and mental wellbeing</li> <li><strong>Monthly Bolt Credits</strong>: For rides</li> <li><strong>Company Events &amp; Offsites</strong>: Regular team gatherings to connect, collaborate, and celebrate</li> </ul>