Machine Learning (ML)
Data ScienceResponsibilities:
- Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
- Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
- Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
- Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.
Requirements:
- 3+ years work experience with production-grade python- preferably contribution to open source repost.
- Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
- Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
- Some working experience with TensorFlow or PyTorch is preferred.
- Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon