Machine Learning Engineer

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance. Key Responsibilities Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment. Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability. Maintain Kubernetes clusters to ensure high availability and performance. Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions. Develop and implement strategies that optimize efficiency and data quality. Qualifications Minimum of 3 years of experience in MLOps or a related field. Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes). Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management. Experience in deploying AI models and managing their lifecycle. Proficiency in Python for scripting and automation. Prior experience in addressing scalability and pricing concerns in ML operations. Skills Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration. If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today #J-18808-Ljbffr