About this role
ML Ops Engineer at Habitat Energy. Location: Austin, Texas, United States. Role: deploying models, building pipelines, supporting trading Requirements: 3+ years in MLOps/ML or data engineering; strong Python data stack (Polars, Pandas, PyArrow, PySpark, NumPy, SciPy); MLflow, Ray, Prefect or Airflow; Git-based CI/CD; AWS and Kubernetes experience; productionizing quantitative models. Category: Software Development Seniority: Mid Level Tools: Python, Polars, Pandas, PyArrow, PySpark, NumPy, SciPy, MLflow, Ray, Prefect, Airflow, Git, AWS, Kubernetes, Kafka, Debezium, Spark, Flink, Iceberg, Trino, Snowflake, SQL, LLMs Commitment: Full Time Workplace: Hybrid Languages: English