Junior AI/ML Engineer

<div id="job-details" class="jobs-box__html-content jobs-description-content__text t-14 t-normal jobs-description-content__text--stretch" data-artdeco-is-focused="true"> <div class="p-workspace__primary_view_body"> <div class="p-message_pane p-message_pane--classic-nav p-message_pane--scrollbar-float-adjustment p-message_pane--with-bookmarks-bar" data-qa="message_pane"> <div class="c-virtual_list c-virtual_list--scrollbar c-message_list c-message_list--floating c-message_list--dark c-scrollbar c-scrollbar--fade"> <div class="c-scrollbar__hider" data-qa="slack_kit_scrollbar"> <div class="c-scrollbar__child"> <div class="c-virtual_list__scroll_container" data-qa="slack_kit_list"> <div id="1739897412.481559" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1739897412.481559"> <div class="c-message_kit__background p-message_pane_message__message c-message_kit__message p-message_pane_message__message--last" data-qa="message_container" data-qa-unprocessed="false" data-qa-placeholder="false"> <div class="c-message_kit__hover" data-qa-hover="true"> <div class="c-message_kit__actions c-message_kit__actions--default"> <div class="c-message_kit__gutter"> <div class="c-message_kit__gutter__right" data-qa="message_content"> <div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section"> <p><strong>Build the Next Generation of AI Products with TensorOps</strong></p> <p>TensorOps is an applied machine learning and artificial intelligence studio helping organizations worldwide plan, design, train, and deploy production-grade ML systems. Our clients range from NASDAQ-listed enterprises to seed-stage startups. Projects span from small proofs-of-concept to multi-year strategic initiatives.</p> <p><strong>What We’re Working On:</strong></p> <ul> <li>Generative AI applications: Chatbots and Agents</li> <li>Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc.</li> <li>MLOps: Improving ML pipelines at scale</li> </ul> <p><strong>Core Stack:</strong><br>As we work with many clients, our stack varies, but we often use:</p> <ul> <li><strong>Python APIs:</strong>&nbsp;FastAPI</li> <li><strong>Containerization:</strong>&nbsp;Docker, Kubernetes</li> <li><strong>Model Training &amp; Serving:</strong>&nbsp;LightGBM, CatBoost, PyTorch, HuggingFace</li> <li><strong>Data Engineering:</strong>&nbsp;Pandas, Polars</li> <li><strong>LLM Frameworks:</strong>&nbsp;LangChain, LangGraph</li> <li><strong>Observability:</strong>&nbsp;MLFlow, Langfuse</li> <li><strong>Cloud Platforms:</strong>&nbsp;AWS, GCP</li> <li><strong>Search</strong>: Elasticsearch, OpenSearch, Solr</li> </ul> <p><strong>The Role:</strong><br>We’re looking for a&nbsp;<strong>Junior Machine Learning Engineer</strong>&nbsp;to help us deliver projects rapidly. You’ll report to and be mentored by a senior team member. This is a hands-on role from day one, working on real projects that make a tangible impact.</p> <p><strong>Preferred Qualifications:</strong></p> <ul> <li>BSc in Computer Science, Software Engineering or equivalent</li> <li>MSc in Computer Science, Data Science, AI or equivalent</li> </ul> <p><strong>Required Skills:</strong></p> <ul> <li>Solid software engineering fundamentals (OOP, Git, concurrency, parallelism)</li> <li>Proficiency in Python</li> <li>Understanding of LLM system design (RAG, agents, etc.)</li> <li>Knowledge of ML system design (pipelines, training/inference techniques)</li> <li>Excellent English communication skills</li> </ul> <p><strong>Nice to Have:</strong></p> <ul> <li>Experience in non-academic projects (jobs, internships or similar)</li> <li>Previous LLM projects (academic or otherwise)</li> <li>Exposure to AI features in cloud platforms (Sagemaker, Bedrock, Vertex AI)</li> <li>Experience working in large codebases</li> </ul> <p><strong>Why TensorOps?</strong></p> <ul> <li>Fully remote (legal residence in Portugal required)</li> <li>Real-world projects, rapid feedback loops, and measurable impact</li> <li>Mentorship from engineers who have shipped ML systems at scale</li> <li>Competitive compensation and growth opportunities - your growth will be based on ownership and performance rather than periodic reviews (which we still do)</li> </ul> <p><strong>Compensation &amp; Perks:</strong></p> <ul> <li>Yearly salary: €30,000-35,000</li> <li>Travel expenses allowance</li> <li>Urban Sports Club membership</li> <li>Free Professional Certifications</li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>