Themesoft Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist/Machine Learning Ops Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires strong skills in Python, SQL, and ML libraries, along with cloud platform experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#TensorFlow #Compliance #Monitoring #R #Python #DevOps #SQL (Structured Query Language) #Docker #Data Engineering #AWS (Amazon Web Services) #Airflow #Documentation #MLflow #Azure #Automation #Data Science #PyTorch #AI (Artificial Intelligence) #Spark (Apache Spark) #Cloud #Observability #ML (Machine Learning) #GCP (Google Cloud Platform) #Kubernetes #Libraries #ML Ops (Machine Learning Operations) #Deployment
Role description
Role: Data Science & ML Ops Engineer
Location: Dallas, Atlanta or Charlotte (3 days hybrid)
Required Skills:
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
• Solid understanding of software engineering principles and DevOps practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
• Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Regards
Praveen Kumar
Talent Acquisition Group – Strategic Recruitment Manager
praveen.r@themesoft.com| Themesoft Inc
Role: Data Science & ML Ops Engineer
Location: Dallas, Atlanta or Charlotte (3 days hybrid)
Required Skills:
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
• Solid understanding of software engineering principles and DevOps practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
• Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Regards
Praveen Kumar
Talent Acquisition Group – Strategic Recruitment Manager
praveen.r@themesoft.com| Themesoft Inc
