Chelsoft Solutions Co.
2 days ago Be among the first 25 applicants
5+ years of experience in Data Engineering
Strong Python from a programming perspective
Experience with CICD Pipelines
Experience with Containerization using Docker/Kubernetes
Strong communication skills; should be able to collaborate with team members
Required Skills
5+ 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
5+ 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.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Chelsoft Solutions Co. by 2x
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5+ years of experience in Data Engineering
Strong Python from a programming perspective
Experience with CICD Pipelines
Experience with Containerization using Docker/Kubernetes
Strong communication skills; should be able to collaborate with team members
Required Skills
5+ 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
5+ 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.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Chelsoft Solutions Co. by 2x
#J-18808-Ljbffr