Job Title: Senior Development Operations Engineer (Data Science)
Location: Normal, IL
Zip Code: 61761
Duration:12 Months
Qualifications
Must Have:
* 8+ years of experience in applied ML or data science, including 3+ years in a senior or staff-level role and devops experience.
* Expert proficiency in Python for ML development (Good to have: Golang for backend integration)
* Proven experience deploying traditional ML models to production with measurable business impact.
* Strong knowledge of ML frameworks (Scikit-learn, XGBoost, LightGBM) and data libraries (Pandas, NumPy, Statsmodels).
* Hands-on MLOps experience with tools like MLflow (preferred), Databricks(preferred), Kubeflow, Vertex AI Pipelines, or AWS SageMaker Pipelines.
* Experience with model monitoring, drift detection, and automated retraining strategies.
* Strong database skills (SQL and NoSQL).
- Masters degree or PHD is mandatory
Preferred:
* Exposure to retrieval-augmented generation (RAG) pipelines and vector databases.
* Time-series analysis and anomaly detection experience.
* Cloud deployment expertise (AWS, Azure, GCP).
* Familiarity with distributed computing frameworks (Spark, Ray).
