Machine Learning Architect
3 weeks ago
Looking for an ML architect who has successfully deployed ML models in production. Someone who is very hands-on in all aspects of AI/ML and doesn't shy away from a challenge big/small and executes it to perfection.
Job Description :
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Experience working with Data engineers to build pipelines that analyze and organize raw data.
- Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition.
- Experience building custom integrations between cloud-based systems using APIs.
- Experience developing and maintaining ML systems built with open-source tools.
- Exposure to machine learning methodology and best practices.
- Interest in learning and keeping up with the latest and newest ML techniques/tools.
Required :
- Expertise and seasoned experience in python programming with emphasis on text manipulation and document reading libraries.
- Experience working with Azure cognitive services like Language resource and FaceAPI.
- Expertise and seasoned experience in python programming with emphasis on text manipulation and document reading libraries.
- knowledge of frameworks such as Numpy, Pandas, Scikit-Learn, Matplotlib, NLTK or Spacy, Keras, Tensorflow, openCV.
- Must've built models leveraging Named Entity Recognition (NER), NLTK, NLP, Spacy.
- Experience working with data annotation tools like prodigy, doccano etc. to label various types of raw data including text and images.
- Design neural network architecture (CNN, RNN, LSTM) and build models that best meets business requirements.
- Experience with vectorizers, word embeddings.
- Ability to design and implement cloud solutions and ability to build MLOps pipelines on Azure.
- Ability to understand tools used by data scientist and experience with software development and test automation.
- Strong command over regular expressions in python.
- Big plus if deep knowledge/experience using sql for data analysis and reporting.
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