Summary: Seeking a Senior ML Engineer to build, maintain, and optimize end-to-end MLOps pipelines and deploy/scale machine learning models in production. Highlights: 1. Opportunity to grow in an innovative environment 2. Build and optimize end-to-end MLOps pipelines 3. Collaborate with Data Scientists and Engineering teams At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a **Senior ML Engineer** to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. **Responsibilities:** * Build, maintain, and optimize **end\-to\-end MLOps pipelines** for machine learning workflows. * Deploy, monitor, and scale **machine learning models in production environments**. * Implement **CI/CD pipelines** for ML workflows and model lifecycle management. * Manage and optimize ML infrastructure using **Docker, Kubernetes, and cloud platforms**. * Collaborate closely with **Data Scientists and Engineering teams** to productionize ML models. * Ensure reliability, monitoring, and performance of ML systems in production. * Maintain best practices for **model versioning, experiment tracking, and reproducibility**. Must\-Have: * **Senior\-level experience in Machine Learning / MLOps engineering** * Strong programming skills in **Python** * Hands\-on experience with ML frameworks such as: + TensorFlow + PyTorch + scikit\-learn * Experience with **MLOps platforms/tools** such as: + MLflow + Kubeflow + TFX or similar * Experience implementing **CI/CD pipelines** using tools such as: + Jenkins + GitLab CI + CircleCI * Strong experience with **containerization and orchestration**: + Docker + Kubernetes * Experience deploying and managing ML solutions on **cloud platforms (AWS, GCP, or Azure)** Nice to Have: * Experience with **big data technologies** such as: + Apache Spark + Hadoop + Kafka * Experience with **data visualization tools**: + Tableau + Power BI