MLOps Engineer Senior

<h3>📋 Description</h3> • We are seeking an experienced Senior ML+DevOps Engineer. • The ideal candidate will have strong expertise in cloud deployment, containerization, and related technologies. • You’ll be in a high-visibility role, working with all sorts of clients both internally and externally. • Design and implement MLOps pipelines to ensure consistency across the organization. • Configure and manage cloud-based resources (e.g., AWS, GCP, Azure) to support AI/ML workloads. • Automate model deployment and management through scripts and tools to streamline the process. • Collaborate with data scientists and engineers to understand their requirements and develop tailored MLOps solutions. • Monitor and optimize AI/ML infrastructure performance by analyzing system performance and identifying bottlenecks. • Stay up-to-date with industry trends and best practices, applying this knowledge to improve our organization's MLOps capabilities. <h3>🎯 Requirements</h3> • Must have • Extensive experience in deploying machine learning models to cloud environments. • Strong expertise in Docker container orchestration. • Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management. • Hands-on experience with streaming data platforms (e.g., Kafka, Kinesis). • Solid understanding of data cleaning, transformation, and ETL processes. • Experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI). • Nice to have • Strong programming skills in Python. • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus. • Excellent problem-solving skills and the ability to think critically and creatively. • Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.