| MLOps Developer, ALPHARETTA, GA - Onsite at Alpharetta, Georgia, USA |
| Email: [email protected] |
| From: Sachin, Quantum World IT [email protected] Reply to: [email protected] Role name: MLOps Developer Role Description: [Primary] Hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably Google Vertex AI.[Primary] Ability to design and build MLOps pipelines with Kubeflow (preferred) or MLFlow.[Primary] Experience in Java or Python programming languages.[Primary] Familiarity with one or more data-oriented workflow orchestration frameworks like Airflow.[Primary] Experience with tools and technologies such as Git, Docker, Kubernetes, Jenkins, CI/CD pipelines, monitoring and logging frameworks.[Secondary] Understanding of automated testing, performance testing, code profiling/refactoring for performance.[Optional] Experience with building ETL/ELT pipelines in cloud environments preferably GCP. Competencies: GCP : Capability Maturity Model Integration for Development (CMMI for Dev) Consulting, Digital : Artificial Intelligence(AI) Experience (Years): 8-10 Essential Skills: [Primary] Hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably Google Vertex AI.[Primary] Ability to design and build MLOps pipelines with Kubeflow (preferred) or MLFlow.[Primary] Experience in Java or Python programming languages.[Primary] Familiarity with one or more data-oriented workflow orchestration frameworks like Airflow.[Primary] Experience with tools and technologies such as Git, Docker, Kubernetes, Jenkins, CI/CD pipelines, monitoring and logging frameworks.[Secondary] Understanding of automated testing, performance testing, code profiling/refactoring for performance.[Optional] Experience with building ETL/ELT pipelines in cloud environments preferably GCP. Desirable Skills: [Primary] Hands-on experience in MLOps, deploying and managing machine learning models in production environments, preferably Google Vertex AI.[Primary] Ability to design and build MLOps pipelines with Kubeflow (preferred) or MLFlow.[Primary] Experience in Java or Python programming languages.[Primary] Familiarity with one or more data-oriented workflow orchestration frameworks like Airflow.[Primary] Experience with tools and technologies such as Git, Docker, Kubernetes, Jenkins, CI/CD pipelines, monitoring and logging frameworks.[Secondary] Understanding of automated testing, performance testing, code profiling/refactoring for performance.[Optional] Experience with building ETL/ELT pipelines in cloud environments preferably GCP. Country: United States Branch | City | Location: Atlanta,GA ALPHARETTA ALPHARETTA, GA - Onsite Sachin Srivastava Direct: +1 805-669-2334*1251 Email: [email protected] Keywords: continuous integration continuous deployment artificial intelligence information technology Georgia MLOps Developer, ALPHARETTA, GA - Onsite [email protected] |
| [email protected] View all |
| Wed Apr 03 00:17:00 UTC 2024 |