What does the company do? A renowned software factory from Venezuela that stands out in developing software for the retail sector. Its team creates innovative, cloud-based solutions that optimize commercial and operational processes for businesses of various sizes across Latin America. Their work spans ERP, SCM, cloud, technical support, business intelligence, SaaS, AI, and exclusive services on AWS. Their main platform incorporates AI capabilities and machine learning models to generate inferences and improve decision-making for diverse businesses, along with integration into well-known virtual payment platforms. The company is currently present in Buenos Aires and plans to expand soon to other countries in the region. What do you need to join the team? On a personal level: Ability to think like a researcher (curiosity, hypothesis, experimentation) but execute like an engineer (deadlines, impact, trade-offs). Clear communication: capable of explaining technical decisions to founders, business teams, and non-technical staff. High level of autonomy and responsibility: this is not a role with detailed instructions, but one that defines what needs to be done and how. On a technical level: At least 6 years of experience working with Machine Learning in real-world environments, with multiple models deployed into production. Proven experience leading end-to-end ML projects. Advanced Python: data science and ML ecosystems (pandas, numpy, scikit-learn, PyTorch or TensorFlow). Solid experience in at least two of these areas: + Forecasting / time series. + Recommendation / propensity / churn models. + Search systems and RAG (embeddings, vector search). MLOps: + Containers (Docker), CI/CD, experiment tracking (MLflow, Weights & Biases or others). + Experience serving models in production (APIs, batch, streaming). Cloud: + Real experience with AWS (Lambda, ECS/EKS, S3, CloudWatch, etc.) Data: + Comfortable working with relational and non-relational databases (SQL, MongoDB/Atlas, Redis, etc.). Nice to have: Experience in retail, e-commerce, or fintech. Contributions to open source, academic publications, or technical talks (meetups, conferences, applied papers). Experience with: + LLM/RAG toolkits (LangChain, LlamaIndex or similar). + Data orchestration tools (Airflow, dbt) and/or data quality monitoring. + Inference optimization on GPU/CPU (ONNX, TensorRT, vLLM, quantization, etc.). What will you do? As a Machine Learning Specialist, you will: The Machine Learning Specialist will be a key figure within the team, working closely with the founders and defining the AI roadmap together with product and technology. Your responsibilities will include: Design end-to-end Machine Learning model architectures: from dataset design to deployment and monitoring in production. Define AI/ML technical standards within the AI Factory (code quality, model review, versioning, ML governance). Lead the design and implementation of: + Demand and inventory forecasting models (SCM). + Segmentation, propensity, recommendation, and churn models (CRM). + RAG architectures consuming vectors generated in the POS and other Melé modules. Select appropriate model families based on impact, cost, and maintainability. MLOps and scalability. Work with the team to ensure robust training and inference pipelines on AWS (Docker, CI/CD, model monitoring, retraining). Optimize latency, cost, and reliability of production models (quantization, distillation, caching, endpoint design). Mentorship and multiplier Elevate the AI team's capabilities: mentoring, code reviews, experiment design, best practices in applied research. Collaborate with full-stack engineers to cleanly integrate models into the POS, ERP, CRM, and other services. Translate business objectives (improve conversion, reduce stockouts, increase margins, etc.) into well-formulated ML problems. Work with founders and product teams to prioritize AI projects based on impact and effort. What is the challenge of the position? As a Machine Learning Specialist, the challenge will be to design, lead, and scale the intelligence layer of the core product: Machine Learning models and AI architectures (including RAG and forecasting models) that transform POS vectorized data into high-impact business decisions for thousands of businesses across Latin America. This role is not about firefighting: it is a high-level position with extreme ownership, where the candidate is expected to multiply the productivity of the AI team tenfold by combining technical vision, product judgment, and execution ability. What is expected during your first months at the company? Expectations for the Machine Learning Specialist in the first months: First 90 days Design and lead at least one end-to-end ML project (e.g., demand forecasting or CRM segmentation) with a defined dataset, reproducible training pipeline, and initial internal metrics. Propose and agree upon a roadmap of priority models for the next 6–12 months. Introduce clear improvements in how the team designs experiments and measures impact. First 180 days At least one key model in production (CRM or SCM) delivering observable business impact. Clear internal ML standards: modeling guidelines, experiment tracking, operational model monitoring framework. A significantly stronger AI team due to mentoring, improved processes, and technical decisions. When and where will you work? You will work under a contractor arrangement in a hybrid setup, with two days remote and three days onsite at the Palermo Soho offices in CABA. Working hours are Monday through Friday, 9:00 to 18:00. Argentine national holidays will be respected. What tools will you work with? You will work with AWS, Python, ML, Terraform, LLMS, Java, C, Angular, AI. Who will you work with? You will work in a multicultural team composed of over 20 full-stack engineers, 2 machine learning engineers, and data scientists. What do they offer? Contractor role with 100% USD salary payment. Three weeks of vacation. National holidays. Real opportunity to grow into an AI Tech Lead or Head of Machine Learning as the team expands. What stages does the selection process involve? You will first meet with our recruiter, Rocío Albelo, to discuss your professional background and interests. Next, you will have an in-person interview with the team’s Tech Lead for a technical conversation.