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[Remote] Senior, Machine Learning Engineer – GP, Remote: Colombia – Costa Rica, Full time.
Note: The job is a remote job and is open to candidates in USA. Gorilla Logic is seeking a Senior Machine Learning Engineer with deep expertise in developing, training, and deploying large-scale machine learning models. The role involves building intelligent systems that drive key business initiatives and requires solid research experience combined with hands-on engineering skills. Responsibilities • Design, develop, and deploy large-scale machine learning models and pipelines for production environments. • Conduct research, experimentation, and tuning to optimize model accuracy, performance, and scalability. • Build and maintain distributed training and inference systems using frameworks such as Apache Spark or Ray. • Collaborate with data engineers, backend developers, and product teams to integrate ML components into real-world applications. • Monitor and improve model performance after deployment, ensuring reliability and stability. • Document best practices, experiment results, and reproducible methodologies. • Stay current with new tools, frameworks, and techniques in ML, AI, and distributed systems. Skills • 6+ years of experience researching, training, tuning, and launching machine learning models at scale. • Strong programming skills in Python. • Experience with distributed frameworks such as Apache Spark or Ray. • Proficiency with machine learning libraries and frameworks including scikit-learn, pandas, NumPy, XGBoost, and PyTorch. • Proven experience deploying and maintaining models in production. • Strong understanding of data pipelines, feature engineering, and model evaluation techniques. • Experience with version control tools like Git and modern development workflows. • Excellent analytical, problem-solving, and communication skills. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with Docker, Kubernetes, and containerized ML workflows. • Experience implementing MLOps pipelines for model lifecycle management. • Background in applied research, NLP, or deep learning model optimization. Benefits • Competitive compensation and benefits package. • Remote-friendly work environment with flexible schedules. • Opportunities to work on impactful AI initiatives using state-of-the-art technology. • Continuous learning and career development support. Company Overview • Gorilla Logic provides custom application development services on the ground and in the cloud to many of the world's leading It was founded in 2002, and is headquartered in Boulder, Colorado, USA, with a workforce of 501-1000 employees. Its website is Apply tot his job Apply tot his job Apply tot his job
