

Chelsoft Solutions Co.
Data Scientist_only on W2_only USC/GC
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 8+ years of Data Engineering experience, strong Python skills, and expertise in CI/CD, Docker/Kubernetes, and GCP. Contract length is unspecified, and only U.S. Citizens or Green Card holders are eligible.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Sunrise, FL
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🧠 - Skills detailed
#Monitoring #Libraries #Data Pipeline #Scala #ML (Machine Learning) #Data Science #Security #API (Application Programming Interface) #Azure #Cloud #Deployment #Kubernetes #GCP (Google Cloud Platform) #Compliance #AI (Artificial Intelligence) #Data Integrity #Data Engineering #Data Security #Docker #AWS (Amazon Web Services) #Python #Automation #Programming
Role description
Required Skills
• 8+ years of experience in Data Engineering
• Strong Python from a programming perspective
• Experience with CICD Pipelines
• Experience with Containerization using Docker/Kubernetes
• GCP cloud experience
• Strong communication skills; should be able to collaborate with team members
Additional Skills
• Experience with Vertex AI/Gemini AI
Summary
Job Description
We are seeking a Data Science Engineer to join a specialized project team consisting of one Data Scientist and one Machine Learning Engineer. This role will focus on building and maintaining production-level data pipelines, implementing cloud solutions, and enabling machine learning workflows at scale. The ideal candidate will have strong expertise in Python, GCP (Google Cloud Platform), CI/CD, Docker/Kubernetes, and Vertex AI, with a proven ability to collaborate effectively in a fast-paced environment.
Day-to-Day Responsibilities
• Design, develop, and maintain data pipelines for machine learning models using Python and Vertex AI.
• Collaborate with Data Scientists and ML Engineers to operationalize propensity models and LLM-based solutions.
• Implement GCP/AWS cloud solutions, ensuring security, scalability, and compliance.
• Build and manage CI/CD pipelines for automated deployments and testing.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Monitor data integrity, security, and performance across cloud environments.
• Create and manage API endpoints for model integration and data services.
• Utilize Q Flow for Vertex AI to streamline ML workflows and pipeline execution.
• Ensure production-level code quality and adherence to best practices in software development.
Qualifications
• 8+ years of experience in Data Engineering or related field.
• Strong programming skills in Python, including experience with relevant libraries and frameworks.
• Hands-on experience with CI/CD pipelines and automation tools.
• Proficiency in containerization using Docker and Kubernetes.
• Solid understanding of GCP (preferred) or similar cloud platforms (AWS/Azure).
• Familiarity with Vertex AI and ML pipeline orchestration.
• Knowledge of data security and monitoring in cloud environments.
• Excellent communication and collaboration skills to work closely with cross-functional teams.
Required Skills
• 8+ years of experience in Data Engineering
• Strong Python from a programming perspective
• Experience with CICD Pipelines
• Experience with Containerization using Docker/Kubernetes
• GCP cloud experience
• Strong communication skills; should be able to collaborate with team members
Additional Skills
• Experience with Vertex AI/Gemini AI
Summary
Job Description
We are seeking a Data Science Engineer to join a specialized project team consisting of one Data Scientist and one Machine Learning Engineer. This role will focus on building and maintaining production-level data pipelines, implementing cloud solutions, and enabling machine learning workflows at scale. The ideal candidate will have strong expertise in Python, GCP (Google Cloud Platform), CI/CD, Docker/Kubernetes, and Vertex AI, with a proven ability to collaborate effectively in a fast-paced environment.
Day-to-Day Responsibilities
• Design, develop, and maintain data pipelines for machine learning models using Python and Vertex AI.
• Collaborate with Data Scientists and ML Engineers to operationalize propensity models and LLM-based solutions.
• Implement GCP/AWS cloud solutions, ensuring security, scalability, and compliance.
• Build and manage CI/CD pipelines for automated deployments and testing.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Monitor data integrity, security, and performance across cloud environments.
• Create and manage API endpoints for model integration and data services.
• Utilize Q Flow for Vertex AI to streamline ML workflows and pipeline execution.
• Ensure production-level code quality and adherence to best practices in software development.
Qualifications
• 8+ years of experience in Data Engineering or related field.
• Strong programming skills in Python, including experience with relevant libraries and frameworks.
• Hands-on experience with CI/CD pipelines and automation tools.
• Proficiency in containerization using Docker and Kubernetes.
• Solid understanding of GCP (preferred) or similar cloud platforms (AWS/Azure).
• Familiarity with Vertex AI and ML pipeline orchestration.
• Knowledge of data security and monitoring in cloud environments.
• Excellent communication and collaboration skills to work closely with cross-functional teams.