LanTec now expanding our AI analytics product line with a platform designed to analyze unstructured content from various data sources. The task of a product based on the analysis of data such as text, video, sound, images, etc., is to determine, build, and predict relationships and dependencies between the received data.We invite to our team an experienced MLOps Engineer.Our candidate has:• 2+ years of experience designing and product ionizing machine learning models and AI applications;• commer
LanTec now expanding our AI analytics product line with a platform designed to analyze unstructured content from various data sources. The task of a product based on the analysis of data such as text, video, sound, images, etc., is to determine, build, and predict relationships and dependencies between the received data.We invite to our team an experienced MLOps Engineer.Our candidate has:• 2+ years of experience designing and product ionizing machine learning models and AI applications;• commercial experience on the Python 3.x stack;• experience with Generative AI and GPT models;• Experienced in AWS or Azure beyond basic provisioning, especially data pipeline components, CI/CD, k8s and ML-relevant managed services• Experienced with building CI/CD pipelines using Gitlab, Jenkins, Azure DevOps, Google Cloud build or similar• Experienced with engineering best practices, including analyzing, designing, developing, deploying and supporting solution infrastructure implementations and upgrades• experience with NLP/NLU, Image/audio processing;• knowledge of basic ML methods (SVM, Random trees, Naive bayes, etc.);What to do on the project:•Cooperate closely with Product teams to deliver and operate ML systems•Design and implement end-to-end production pipelines for ML solutions•Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, system monitoring, etc.• Design and implement automated deployment and integration of ML models• Setup scalable monitoring systems for data pipelines and ML models• Maintain ML pipelines in production.What we offer:• Full-time, flexible working hours;• Stable and long-term cooperation.• Remote work or in the office — your choice;• Paid vacation, sick leave;• Training and participation in professional events of the company;• Inspiring and friendly working environment;• Team-building events. We are waiting for you to create the future together!