Machine Learning Engineer (Remote - Latam) at Jobgether

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Machine Learning Engineer (Remote - Latam) at Jobgether. This position is posted by Jobgether on behalf of Nimble Gravity. We are currently looking for a . Machine Learning Engineer. in . LATAM. .. Are you passionate about building real-world AI solutions that scale and deliver impact? Join a dynamic Data & AI team focused on designing and deploying machine learning models that solve complex business challenges. You will work cross-functionally with engineers, product owners, and AI specialists to develop production-ready models and intelligent workflows. From building robust data pipelines to implementing cutting-edge techniques like LLMs and reinforcement learning, you’ll help embed AI into core business processes while advancing best practices in MLOps and agile delivery.. . Accountabilities:. . Design, train, and fine-tune machine learning models to address real-world business problems and deploy them at scale.. . Build and maintain end-to-end data pipelines for structured and unstructured data ingestion, preprocessing, and transformation.. . Integrate ML models into complete workflows, including serving, monitoring, and evaluating performance in production environments.. . Apply advanced AI techniques such as transformers, LLMs, RAG, vector embeddings, predictive modeling, and reinforcement learning.. . Continuously monitor and optimize deployed models to enhance accuracy, reliability, and efficiency.. . Collaborate on MLOps practices including CI/CD, automated deployment, and testing of AI systems.. . Participate in agile ceremonies and contribute to sprint planning, reviews, and problem-solving initiatives with cross-functional teams.. . . . Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical discipline.. . Minimum 3 years of experience in machine learning engineering or applied AI roles.. . Strong hands-on experience with ML frameworks such as TensorFlow or PyTorch, from prototyping to production deployment.. . Experience with cloud platforms such as AWS, Azure, or Databricks and building scalable solutions.. . Proficient in handling complex, large-scale datasets—structured and unstructured.. . Excellent problem-solving skills with a focus on data quality and model performance.. . Strong communication skills and a collaborative mindset for working with cross-functional stakeholders.. . Company Location: Colombia.