MLOps Engineer

**Company Description** Botmer International is a global AI\-first software development and staff augmentation company empowering businesses to build and scale intelligent solutions. Known for its innovative approach, Botmer provides custom AI products, rapid prototyping, full\-cycle development, and staffing services with transparent pricing. Trusted by over 200 startups and enterprises, Botmer\-built solutions have helped clients collectively raise $315M\+. With a 50\+ member team specializing in AI, blockchain, and modern technologies, Botmer combines technical expertise with business strategy to deliver impactful, growth\-focused solutions on a global scale. **Role Description** This is a contract\-based, remote Senior MLOps Engineer position at Botmer International. The MLOps Engineer will design, build, and deploy scalable machine learning infrastructure and production\-ready solutions. Responsibilities include developing and optimizing CI/CD pipelines, integrating machine learning models into production systems, automating workflows, and improving model reliability. The role involves close collaboration with data scientists and engineering teams to ensure seamless deployment and performance of ML systems. You will also be responsible for monitoring, maintaining, and troubleshooting deployed models and infrastructure to ensure optimal functionality, scalability, and efficiency. **Qualifications** * 5\+ years of experience in MLOps or Machine Learning Engineering * Strong proficiency in Python with production\-level coding experience * Hands\-on experience with Docker and Kubernetes in real\-world deployments * Experience with cloud platforms such as AWS or GCP (compute, storage, ML services) * Solid understanding of CI/CD pipelines and automation for ML workflows * Familiarity with MLflow, DVC, Weights \& Biases, or similar tools for experiment tracking and versioning * Proven experience in designing and managing end\-to\-end ML pipelines (data ingestion, training, deployment, monitoring) * Experience deploying and maintaining machine learning models in production environments * Strong problem\-solving skills with the ability to work in cross\-functional teams * Experience optimizing systems for scalability, reliability, and cost efficiency * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred