Job Description: We are seeking a talented and motivated MachineLearningEngineer to join our dynamic team. The ideal candidate will have a strong background in machinelearning, data analysis, and software development. You will be responsible for designing, developing, and deploying machinelearning models to solve complex problems and improve our products. Key Responsibilities: Develop and implement machinelearning algorithms and models. Analyze large datasets to extract meaningful insights. Collaborate with cross-functional teams to integrate machinelearning solutions. Optimize and maintain existing machinelearning models. … Stay updated with the latest trends and advancements in machinelearning and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machineMore ❯
the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machinelearning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … and infrastructure, all while contributing to Trustpilot's AI-based solutions. What you'll be doing: Model Deployment: Collaborate with data scientists to take machinelearning models from development to production, ensuring quality work and scalability. Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with … systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machinelearning models. Model Monitoring: Help monitor the performance of machinelearning models post-deployment, ensuring reliability, scalability, and quality over time. More ❯
NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machinelearning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. Carbon60 More ❯