Description

Overview:
DataOPS:- Proficiency in Python Core/Advanced for development and data pipelining.
Strong understanding of data structures, Pandas, Numpy, sklearn, concurrency, and design patterns.
DevOPS:- Experience in deploying applications using CI/CD tools such as Jenkins, Jfrog, Docker, Kubernetes, and Openshift Container Platform.
Microservices & REST APIs:
Familiarity with FastAPI, Flask, and Tornado for developing microservices and REST APIs.
Cloud:
Knowledge of building and deploying applications using cloud platforms.
Databases & SQL: - Proficiency in working with databases such as Postgres, Clickhouse, and MongoDB.
Caching & Queuing: - Experience with Pub/Sub (RabbitMQ), Redis, and Diskcache for caching and queuing purposes.
Operating system: - Strong understanding of both Linux and Windows operating systems.
Monitoring and Logging: - Familiarity with Splunk for monitoring and logging applications.

Good To Have Skills Include

Generative AI knowledge: - Knowledge of the Langchain framework and ChatGPT for generative AI applications.
MLOPS knowledge: - Experience with Databricks, MLFlow, Kubeflow, and ClearML for managing machine learning operations.
Testing knowledge: - Proficiency in integration testing, Python Behave, and Pytest for ensuring code quality.
Maintaining code quality standards: - Working knowledge of Pylint for maintaining code quality standards.
Logging: - Familiarity with Kibana and Elastic search for advanced logging and analysis.

Skills: tornado,mlflow,redis,cloud,windows,python core,mongodb,integration testing,sklearn,data structures,linux,python behave,chatgpt,flask,html/css,diskcache,numpy,problem solving,ci/cd tools,kibana,advanced python,docker,kubeflow,pub/sub,postgres,openshift container platform,kubernetes,javascript,pylint,cloud platforms,python,sql,databricks,jfrog,fastapi,rabbitmq,pytest,restful apis

Key Skills
Education

Any Graduate

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