Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We're privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word 'partner' over 'vendor', and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.About the opportunity: Please prioritize senior-level Data/MLOps Engineers with strong coding ability and clear communication. Candidates must be able to clearly explain their approach, design decisions, trade offs, and alternatives, and articulate end-to-end MLOps architecture. Candidates with average coding skills or limited ability to communicate ideas will not be considered.Data Engineer (MLOps Focus)Team & Scope The team owns theentire data pipeline, from ingestion to downstream consumption. Data Engineering and MLOps responsibilities arecombined, and the team supports multiple projects simultaneously. This is primarily aData Engineering role, with strong exposure toMLOps and ML integration. Technical Focus The team writessignificantly less SQLcompared to a typical Data Engineering team. There is alarge Business Analyst teamresponsible for providing raw data and writing most of the SQL. Candidates must becomfortable with SQL, but in day to day work, SQL usage is limited. Strongprogramming and system design skillsare critical, similar to a traditional Software Engineering role. Pythonis the main programming language, but strong experience inJava or Scalais also acceptable. The ideal profile is ageneralist, not a specialist. Key expectations include: Writing production grade code Designing scalable systems Orchestrating end to end data and ML pipelines Integrating ML models into broader systems SQL is considered anadditional skill, not the core focus.Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.