About this role
Data Scientist / ML Platform Engineer at Peraton. Location: United States. Role: developing models, deploying models, monitoring models Requirements: Build and productionize ML models, implement MLOps practices (MLflow), support feature pipelines and monitoring, work with Spark/Databricks/Snowflake, and maintain compliance in a HIPAA/FedRAMP environment. US citizenship or green card and Public Trust eligibility required. Category: Data and Analytics Seniority: Entry Level Tools: MLFlow, SHAP, LIME, Spark, SQL, Snowflake, Databricks, Unity Catalog, Python, scikit-learn, XGBoost, PyTorch, TensorFlow, GitHub, Bash, LangChain, LlamaIndex, Hugging Face Transformers, Databricks Model Serving, Evidenly, Airflow, Kafka, Docker, conda Certifications: public trust Commitment: Full Time Workplace: Remote Languages: English