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Data Scientist_only on W2_only USC / GC

Data Scientist_only on W2_only USC / GC

Chelsoft Solutions CoSunrise, FL, United States
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Data Scientist_only on W2_only USC / GC

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

Job Description

Summary

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.
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    Data • Sunrise, FL, United States

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