Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
MACHINE LEARNING
ML
PYTHON
GCP
GOOGLE CLOUD
KUBERNETES
DOCKER
DATAPROC
SPARK
PYSPARK
AIRFLOW
CI/CD
TEKTON
TERRAFORM
SONARQUBE
CYCODE
FOSSA
GITHUB
GIT HUB
API
Job Details
Skills Required:
Google Cloud Platform Cloud Run, Kubernetes, Spark, SonarQube, Google Cloud Platform, Google Cloud Platform, Tekton, Python, API, Jira, AWS
Experience Required:
Bachelor's degree in Computer Science, Information Systems, or a related field. * 3+ years of experience in developing and deploying machine learning models in a production environment. * 3+ years of experience in programming with Python * 2+ years of hands-on experience utilizing Google Cloud Platform (Google Cloud Platform) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run. * Experience with version control systems like GitHub for managing code repositories and collaboration. * 2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA. * 3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow. * Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes. * Excellent problem-solving and analytical skills, with a focus on data-driven solutions. * Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform. * Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.
Education Required:
Bachelor's Degree
Google Cloud Platform Cloud Run, Kubernetes, Spark, SonarQube, Google Cloud Platform, Google Cloud Platform, Tekton, Python, API, Jira, AWS
Experience Required:
Bachelor's degree in Computer Science, Information Systems, or a related field. * 3+ years of experience in developing and deploying machine learning models in a production environment. * 3+ years of experience in programming with Python * 2+ years of hands-on experience utilizing Google Cloud Platform (Google Cloud Platform) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run. * Experience with version control systems like GitHub for managing code repositories and collaboration. * 2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA. * 3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow. * Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes. * Excellent problem-solving and analytical skills, with a focus on data-driven solutions. * Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform. * Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.
Education Required:
Bachelor's Degree
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