Senior MLOps Engineer

Company Description Botmer International is a global AI-first software development and staff augmentation company that empowers businesses with intelligent technology solutions. We specialize in AI software, MVP development, and staff augmentation to help startups and enterprises scale efficiently and achieve their goals. Trusted by over 200 clients worldwide, our 50+ person engineering team has contributed to projects that have collectively raised $315M+. Guided by values of speed, transparency, and ownership, Botmer delivers impactful solutions that drive business growth and success. 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 mainly focuses on computer vision applications and automations. 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 and 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 specially Sagemaker) •⁠ ⁠⁠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