<p></p> <p data-path-to-node="1"><strong data-path-to-node="1" data-index-in-node="0">Santex</strong> is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.</p> <h3 data-path-to-node="2">Job Description: Machine Learning Engineer</h3> <p data-path-to-node="3">We are looking for an experienced and driven <strong data-path-to-node="3" data-index-in-node="45">Machine Learning Engineer</strong> to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling.</p> <h3 data-path-to-node="4">Responsibilities</h3> <ul> <li data-path-to-node="5,0,0"><strong data-path-to-node="5,0,0" data-index-in-node="0">Model Development & Deployment:</strong> Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience.</li> <li data-path-to-node="5,1,0"><strong data-path-to-node="5,1,0" data-index-in-node="0">Continuous Improvement:</strong> Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops.</li> <li data-path-to-node="5,2,0"><strong data-path-to-node="5,2,0" data-index-in-node="0">Architecture & Scalability:</strong> Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines.</li> <li data-path-to-node="5,3,0"><strong data-path-to-node="5,3,0" data-index-in-node="0">Cross-functional Collaboration:</strong> Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment.</li> <li data-path-to-node="5,4,0"><strong data-path-to-node="5,4,0" data-index-in-node="0">Operational Excellence:</strong> Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability.</li> <li data-path-to-node="5,5,0"><strong data-path-to-node="5,5,0" data-index-in-node="0">Innovation:</strong> Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge.</li> </ul> <h3 data-path-to-node="6">Requirements</h3> <ul> <li data-path-to-node="7,0,0"><strong data-path-to-node="7,0,0" data-index-in-node="0">Education:</strong> Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.</li> <li data-path-to-node="7,1,0"><strong data-path-to-node="7,1,0" data-index-in-node="0">Experience:</strong> <strong data-path-to-node="7,1,0" data-index-in-node="12">3+ years</strong> of experience designing, building, and operating production-scale machine learning systems.</li> <li data-path-to-node="7,2,0"><strong data-path-to-node="7,2,0" data-index-in-node="0">Technical Mastery:</strong> Expert-level programming in <strong data-path-to-node="7,2,0" data-index-in-node="47">Python</strong> with extensive experience using <strong data-path-to-node="7,2,0" data-index-in-node="86">PySpark</strong> and distributed data platforms (e.g., <strong data-path-to-node="7,2,0" data-index-in-node="132">Databricks</strong>) for large-scale datasets.</li> <li data-path-to-node="7,3,0"><strong data-path-to-node="7,3,0" data-index-in-node="0">Deep Learning & Frameworks:</strong> Strong experience with <strong data-path-to-node="7,3,0" data-index-in-node="51">Scikit-Learn, MLlib, and PyTorch</strong>, including regression, time series, clustering, and deep learning.</li> <li data-path-to-node="7,4,0"><strong data-path-to-node="7,4,0" data-index-in-node="0">Distributed Systems:</strong> Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs).</li> <li data-path-to-node="7,5,0"><strong data-path-to-node="7,5,0" data-index-in-node="0">Data & Cloud:</strong> Strong <strong data-path-to-node="7,5,0" data-index-in-node="21">SQL</strong> expertise and experience deploying ML workloads to <strong data-path-to-node="7,5,0" data-index-in-node="76">AWS</strong> (EC2, S3, DynamoDB, Lambda).</li> <li data-path-to-node="7,6,0"><strong data-path-to-node="7,6,0" data-index-in-node="0">Ops:</strong> Experience implementing <strong data-path-to-node="7,6,0" data-index-in-node="29">MLOps / LLMOps</strong> practices.</li> </ul> <h3 data-path-to-node="8">Key Competencies</h3> <ul> <li data-path-to-node="9,0,0"><strong data-path-to-node="9,0,0" data-index-in-node="0">Ownership:</strong> Ability to manage strategic initiatives in a rapidly evolving QSR environment.</li> <li data-path-to-node="9,1,0"><strong data-path-to-node="9,1,0" data-index-in-node="0">Adaptability:</strong> Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.</li> <li data-path-to-node="9,2,0"><strong data-path-to-node="9,2,0" data-index-in-node="0">Outcome-Oriented:</strong> Focus on analyzing and visualizing data to drive continuous improvement across the business.</li> <li data-path-to-node="9,3,0"><strong data-path-to-node="9,3,0" data-index-in-node="0">Professionalism:</strong> Maintain transparency and professionalism in communication within the team and with stakeholders.</li> </ul> <h3 data-path-to-node="10">📍 Location</h3> <ul data-path-to-node="11"> <li> <p data-path-to-node="11,0,0"><strong data-path-to-node="11,0,0" data-index-in-node="0">Flexible / Remote options available.</strong></p> </li> </ul>