Summary: Lean Tech is seeking a Machine Learning Platform Engineer to design, build, and scale ML platforms and data-driven product capabilities, contributing to strategic roadmap initiatives and shaping future ML-powered products. Highlights: 1. Opportunity to elevate careers and experience substantial growth. 2. Engage with expansive engineering teams across Latin America and the US. 3. Contribute to shaping the data landscape within a dynamic organization. **Company Overview:** Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting\-edge developments in multiple industries.### **Name:** Machine Learning Platform Engineer **Type:** Cloud, DevOps \& Infrastructure Hybrid 2 days at the office / MDE only ### **Role Overview** Lean Tech is seeking a Machine Learning Platform Engineer to help design, build, and scale our machine learning platform and data\-driven product capabilities. This role is critical to enabling high\-impact ML solutions that drive business value and maximize profitability. You will work at the intersection of platform engineering, machine learning, and product development—owning systems end\-to\-end while collaborating cross\-functionally with engineers, data scientists, and product leaders. This is an opportunity to contribute to strategic roadmap initiatives, improve platform performance, and shape the future of ML\-powered products at scale. ### **Required Qualifications (Main skills)** * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) * 3\+ years of experience in MLOps, including feature stores, model registries, and model serving * 3\+ years of experience building scalable backend services in Python with FastApi * Strong experience with ML/data libraries such as Scikit\-learn, Pandas, and NumPy * 2\+ years of experience with relational databases (e.g., PostgreSQL) * Experience designing scalable, maintainable distributed systems * Hands\-on experience with Docker and Kubernetes in cloud\-native environments * Solid understanding of machine learning fundamentals, including both traditional ML and deep learning * Strong system design skills, including microservices and event\-driven architectures * Excellent communication skills with the ability to explain complex technical concepts clearly * Strong analytical, problem\-solving, and organizational skills ### **Nice to Have** * Experience with TensorFlow, PyTorch, or Hugging Face * Familiarity with experimentation platforms such as Statsig * Experience working with Elasticsearch or similar search technologies ### **Key Skills \& Competencies** * Ability to work as an independent contributor with minimal supervision * Strong communication skills, both technical and non\-technical * Excellent problem\-solving and debugging abilities * High attention to detail and commitment to quality * Strong organizational and time management skills * Adaptability and a proactive, solution\-oriented mindset * Prior experience in startups or high\-growth environments **Why you will love Lean Tech:*** Join a powerful tech workforce and help us change the world through technology * Professional development opportunities with international customers * Collaborative work environment * Career path and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.