Job description

Kennesaw, USA Full Time

Experience Required: 3+ years relevant experience in following areas of Software development (BE/BTech or similar degree)

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 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

ML/AI Work links you to the employer's original posting — always verify the details there before applying.

Machine Learning/ Artificial Intelligence

Job description