**Senior ML Engineer** ====================== Colombia,Costa Rica,Medellín, Antioquia,Bogotá, Capital District,Cali, Valle del Cauca,Barranquilla **About project** As a Senior ML Engineer at Provectus, you'll be responsible for designing, developing, and deploying production\-grade machine learning solutions for our clients. You will work on complex ML problems, mentor junior engineers, and contribute to building ML accelerators and best practices. **Core Responsibilities:** * 1\. Technical Delivery (60%) + Design and implement end\-to\-end ML solutions from experimentation to production + Build scalable ML pipelines and infrastructure + Optimize model performance, efficiency, and reliability + Write clean, maintainable, production\-quality code + Conduct rigorous experimentation and model evaluation + Troubleshoot and resolve complex technical challenges * 2\. Collaboration and Contribution (25%) + Mentor junior and mid\-level ML engineers + Conduct code reviews and provide constructive feedback + Share knowledge through documentation, presentations, and workshops + Collaborate with cross\-functional teams (DevOps, Data Engineering, SAs) + Contribute to internal ML practice development * 3\. Innovation and Growth (15%) + Stay current with ML research and emerging technologies + Propose improvements to existing solutions and processes + Contribute to the development of reusable ML accelerators + Participate in technical discussions and architectural decisions **Requirements:** * Comfortable with standard ML algorithms and underlying math. * Strong hands\-on experience with LLMs in production, RAG architecture, and agentic systems * AWS Bedrock experience strongly preferred * Practical experience with solving classification and regression tasks in general, feature engineering. * Practical experience with ML models in production. * Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. * Solid software engineering skills (i.e., ability to produce well\-structured modules, not only notebook scripts). * Python expertise, Docker. * English level \- strong Intermediate. * Excellent communication and problem\-solving skills. **Will be a plus:** * Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda). * Practical experience with deep learning models. * Experience with taxonomies or ontologies. * Practical experience with machine learning pipelines to orchestrate complicated workflows. * Practical experience with Spark/Dask, Great Expectations.