Machine Learning Platform Engineer

APPIT Software Solutions is hiring a Machine Learning Platform Engineer in Chicago, USA . Build and scale the internal ML platform at APPIT Software in Chicago, creating self-service tools for model training, experiment tracking, feature management, and production deployment at enterprise scale. Responsibilities Design and build internal ML platform services for model training, serving, and monitoring Develop self-service tools enabling data scientists to deploy models without DevOps expertise Build and maintain feature stores for consistent feature computation across training and serving Implement experiment tracking, model registry, and artifact management systems Optimize GPU resource scheduling and cost management for training workloads Define platform SLAs and ensure high availability of ML infrastructure services Requirements 5+ years of software engineering with 2+ years in ML platform or infrastructure roles Strong experience with Kubernetes, Helm, and container orchestration at scale Proficiency in Python and Go or Rust for building platform services Experience with ML workflow orchestrators (Kubeflow, Airflow, Flyte, or Metaflow) Knowledge of distributed computing frameworks (Ray, Spark, or Dask) Experience with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code Nice to Have Experience building developer platforms or internal tooling Knowledge of LLM serving infrastructure and GPU optimization Familiarity with Feast, Tecton, or similar feature platforms #J-18808-Ljbffr Appit LLC