| Description :
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Responsibilities: - (Basic Python + Pandas/Numpy + other ML)
- Python (with working experience in most of common libraries like Scikit , numpy, pandas, mathplotlib, keras, tensorflow, pytorch, nltk, genism, spacy etc)
- Good knowledge and experience in optimization of DL models
- Working exposure in common cloud environments and understanding of robust on-premise data science infrastructure.
- Good to Have-
- Nice to have understanding of big data related technologies and DevOps(Dockers, Singularity)
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- Data Engineer with Backend engineering role : 2 positions
- should possess strong Python skills
- should have experience in creating restful API’s ( having experience with FastAPI framework is major advantage)
- should have experience in dealing with Databases (experience with PostGre/ Clickhouse
- Data Engineer with expertise in packaging the Algos : 2 positions
- Strong python skills
- Experience in error handling, logging , exception handling through code
- Experience to work with DB’s like PostGre to store Data Science model results
- Capabilities to understand complex code, optimize it and modularize it.
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