MLOps Engineer

Join our dynamic team as an MLOps Engineer and play a pivotal role in advancing our machine learning capabilities. You will be responsible for seamlessly integrating machine learning models into our infrastructure while ensuring smooth operation across all stages of the ML lifecycle. Collaborate closely with data scientists and engineers to create reliable, scalable, and efficient solutions. Key Responsibilities: Implement and maintain CI/CD pipelines for machine learning projects. Develop and manage machine learning models using TensorFlow. Optimize and automate ML workflows on Azure or AWS platforms. Monitor and enhance system performance and reliability. Collaborate with cross-functional teams to streamline deployment processes. Ensure data governance and compliance in ML operations. Provide technical support and troubleshooting as needed. Required Skills and Qualifications: 4+ years of experience in MLOps or related fields. Proficient in machine learning concepts and techniques. Hands-on experience with TensorFlow. Strong understanding of CI/CD principles and practices. Expertise in cloud platforms such as Azure or AWS. Exceptional written and verbal communication skills. Proven ability to work in a collaborative, on-site environment. Preferred Qualifications: Experience with Kubernetes and Docker for containerization. Advanced degree in Computer Science or related field. Familiarity with data protection regulations and best practices.