Summary: Seeking a Senior Python ML Developer to shape and ship advanced ML solutions using Python, GenAI, and AI/ML frameworks, working with databases, cloud platforms, and DevOps practices. Highlights: 1. Shape and ship advanced ML solutions with Python, GenAI, and AI/ML frameworks 2. Work with databases, cloud platforms (AWS, Azure, GCP), and DevOps practices 3. Build, optimize, deploy, monitor, and improve ML models in production We are seeking a Senior Python ML Developer to help shape and ship advanced ML solutions using Python, GenAI, and proven AI/ML frameworks. You will work with databases, cloud platforms (AWS, Azure, or GCP), and DevOps practices to deploy, monitor, and improve models in production; apply today. **Responsibilities** * Build and optimize machine learning models for a range of business use cases * Partner with data scientists and engineers to deliver end\-to\-end ML solutions * Implement data pipelines for model training, deployment, and ongoing updates * Review large datasets to uncover actionable insights * Help assess and choose appropriate ML algorithms and frameworks * Embed ML models into production systems to support real usage * Track model behavior in production and keep performance stable * Create and maintain documentation for processes and results * Contribute to code reviews and share engineering best practices * Keep up with the latest developments and trends in AI and ML **Requirements** * At least 3 years of experience in professional software engineering * High proficiency in Python for machine learning and data processing * Practical experience with GenAI and AI/ML frameworks for building intelligent solutions * Good understanding of database systems used to store and retrieve data * Background in designing solution architectures for scalable ML applications * Knowledge of modern software development methodologies to deliver projects efficiently * Working knowledge of cloud platforms such as AWS, Azure, or GCP for deploying ML solutions * Understanding of DevOps practices to automate deployment and monitor ML models * English proficiency at B2\+ level (Upper Intermediate) or higher, written and spoken