Machine Learning Engineer

<h3>📋 Description</h3> • Architect and maintain robust and scalable machine learning infrastructure. • Collaborate with data scientists and engineers to deploy and monitor machine learning models. • Implement automated workflows for model training, validation, and deployment. • Optimize and fine-tune the performance of machine learning systems. • Ensure data security, privacy, and compliance within the machine learning infrastructure. • Troubleshoot and resolve infrastructure-related issues. • Contribute to the evaluation and adoption of new technologies and tools in the machine learning space. <h3>🎯 Requirements</h3> • Possess a strong background in machine learning, computer science, or a related field. • Have 5+ years of experience in building and deploying machine learning models in production environments. • Demonstrate proficiency in cloud computing platforms such as AWS, GCP, or Azure. • Have experience with containerization technologies like Docker and orchestration tools like Kubernetes. • Exhibit strong problem-solving skills and the ability to troubleshoot complex technical issues. • Possess excellent communication and collaboration skills to work effectively in a remote team environment. <h3>🏖️ Benefits</h3> • 100% covered health coverage for you, and 90% for your dependents. • 100% covered Life & AD&D, and short-term disability coverage for you. • 401(k) with 3% matching. • Continued education and professional development. • Fixed leave policy of 18 Planned vacation days, 8 sick days, generous maternity, paternity and 16 annual holidays.