.. pipeline meets their needs. • Experience with cloud-based data warehousing solutions Google Big Query. • Implement data governance policies and procedures to ensure data quality and consistency. • Design and develop data models that support data-driven applications and services. • Troubleshoot .. read more
You will solve some unique and impactful business problems using a variety of Data Science technologies.
Responsibilities Work hands-on on building the model, deployment and monitoring pipelines based on in-depth understanding of underlying data, data structures, and AI logics.
Eligibility Criteria BE/BTech/MTech (Specialization/courses in ML/DS/Computer vision/Deep learning)
1-2+ years of hands-on experience building the end-to-end design, development, and deployment of predictive modeling solutions.
3-4+ years of experience in Python/R, SQL, FastAPI, Celery, Rabbitmq/Redis.
1-2+ years of experience in NLP algorithms, Regression & Classification Modelling.
1-2+ years of hands on work experience in DevOps.
Exposure on Linux machines or cloud servers.
Knowledge in python and packages for data analysis (scikit-learn,scipy, numpy, pandas, matplotlib).
Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc Knowledge of Computer vision frameworks: OpenCv, Tesseract OCR, PIL, etc
Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
Good understanding of OOP & Data Structures concepts.
Proficient in Shell Scripting and automation tools.
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