Cpctechno
Machine Learning/ Artificial Intelligence
Cpctechno, Kennesaw, Georgia, us, 30156
Machine Learning/ Artificial Intelligence
Experience Required: 3+ years relevant experience in following areas of Software development (BE/BTech or similar degree).Job Description
Strong knowledge in Python programming & libraries like Pandas, NumPy, etc.Experience with GCP/AWS/Azure Cloud, Docker/Kubernetes and scale containerized apps.Experience in Apache Spark or PySpark, Kafka.Good knowledge in SQL Queries and any RDBMS DB.Understanding of CI/CD tools like Jenkins & SonarQube.Implement & deploy models into production by leveraging MLOps best practices.Strong communication skills in a collaborative environment.Experience in Big data technologies such as Hadoop.Experience in MLFlow & DVC.Experience in working on ETL Jobs and building pipelines using UC4/Airflow.Collaborate with Data Scientists, Data Engineers, cloud platforms and application engineers to create and implement inferencing pipelines and governance for ML/DL model lifecycle.Collaborate with Data science & other dependent teams to design and implement the required solutions.Participate in formal and informal code reviews to ensure code quality.Actively contribute to the automated test suites to enable continuous integration.
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Experience Required: 3+ years relevant experience in following areas of Software development (BE/BTech or similar degree).Job Description
Strong knowledge in Python programming & libraries like Pandas, NumPy, etc.Experience with GCP/AWS/Azure Cloud, Docker/Kubernetes and scale containerized apps.Experience in Apache Spark or PySpark, Kafka.Good knowledge in SQL Queries and any RDBMS DB.Understanding of CI/CD tools like Jenkins & SonarQube.Implement & deploy models into production by leveraging MLOps best practices.Strong communication skills in a collaborative environment.Experience in Big data technologies such as Hadoop.Experience in MLFlow & DVC.Experience in working on ETL Jobs and building pipelines using UC4/Airflow.Collaborate with Data Scientists, Data Engineers, cloud platforms and application engineers to create and implement inferencing pipelines and governance for ML/DL model lifecycle.Collaborate with Data science & other dependent teams to design and implement the required solutions.Participate in formal and informal code reviews to ensure code quality.Actively contribute to the automated test suites to enable continuous integration.
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