Improving is committed to building a great place to work by cultivating an environment that fosters professional and personal relationships. We value open communication, personal growth, and shared rewards, which result in sustainable success. Voted “best place to work” numerous times, Improving strives to create and maintain a culture that exemplifies teamwork, excellence, and fun! We believe this kind of culture encourages both the inspiration and the motivation to achieve amazing things. Application Development What you'll do Set up and maintain development environments, CI/CD pipelines, and secure VPN integrations for API access Deploy ML models as scalable Azure ML endpoints, handling both GPU-heavy and CPU-based workloads Build and maintain a robust API layer with proper authentication, schema handling, logging, retries, and timeouts Integrate system orchestration for job sequencing, execution flow, and post-processing workflows Design and implement horizontal scaling strategies, including parallel processing and batch inference Monitor production systems with alerting and observability for latency, throughput, errors, and model performance Run load testing and plan system capacity to meet and scale beyond high-volume processing targets Manage structured JSON outputs with version control, validation, and backward compatibility Create operational documentation, including deployment runbooks and incident response procedures What you'll bring 4+ years of experience in DevOps, MLOps, or platform engineering, including hands-on ML production deployments Strong expertise with Azure services (ML, Functions, Container Registry, Monitoring, Networking) Experience with CI/CD pipelines and infrastructure-as-code tools like Terraform, Bicep, or ARM Proven ability to build and operate production-grade REST APIs with reliability and security in mind Solid understanding of containerization (Docker) and ML model serving architectures Experience in performance optimization, load testing, and system scalability planning Familiarity with advanced Azure ML endpoint features like auto-scaling and staged deployments Knowledge of ML inference optimization techniques (e.g., ONNX, TensorRT, quantization) Experience working with multi-model pipelines and coordinated endpoint architectures Understanding of serverless orchestration patterns and cloud-based workflow systems Improving welcomes people from all backgrounds and walks of life, and this is reflected in our largely diverse community of Improvers. Improving is proud to be an equal opportunity employer and is committed to providing equal opportunities for all employees and applicants. Improving recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to race, color, religion, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. About Improving Improving is a modern digital services company dedicated to positively changing the perception of the IT professional. We offer innovative solutions through consulting, software development, and training to help thousands of our clients achieve new heights in a competitive and ever-changing market. As our company continues to grow, we are looking for enthusiastic thought leaders to join our team. Improving has a unique mix of passionate professionals who strive to grow and thrive in new ways. We are committed to establishing and maintaining an inclusive culture that allows all Improvers to bring their authentic selves to work each day. This is why we work hard to build inclusion and diversity in our workplace, so we can all do amazing things and succeed together. #J-18808-Ljbffr