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