BELCAN
Data Science - AI/ML with DevOps / Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Development Operations Engineer (Data Science) in Normal, IL, for 12 months at a competitive pay rate. Requires 8+ years in ML/data science, strong Python skills, MLOps experience, and a Master's or PhD.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
576
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🗓️ - Date
November 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Normal, IL
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🧠 - Skills detailed
#Distributed Computing #Spark (Apache Spark) #SQL (Structured Query Language) #Golang #DevOps #Azure #MLflow #NumPy #Deployment #Pandas #Python #Data Science #Libraries #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Anomaly Detection #Databases #SageMaker #ML (Machine Learning) #Cloud #AWS (Amazon Web Services) #AWS SageMaker #Monitoring #NoSQL #Databricks
Role description
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).
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).
