Job description
Job Description:
- Work in a cross-functional team of business SMEs, Data Scientists and ML Engineers and Automaton Engineers to deliver best in class solutions that meet and exceed operational SLA for data assets that enable the US real estate economy
- Lead solutioning of complex OCR and NLP problems in the space of data extraction from large volumes of unstructured texts, images, video
- Tune machine learning models for scalability, performance and production readiness
- Deploy machine learning models to production
Technical skills – must have
- Strong hands-on development in Python, focused on data science (ScikitLearn, ScikitImage, OpenCV, PyTesseract)
- Experience with PyTorch/TensorFlow/Keras in building deep learning models, especially in the OCR, Computer Vision and NLP space
- Experience with MLOps – deploying and scaling models in production
- Experience with relational databases such as SQL Server/Oracle/PostGresSQL, and working knowledge of SQL
Technical skills – nice to have:
- Experience with GCP / AWS PaaS capabilities for AI/ML development and deployment (AWS SageMaker/GCP DataFlow/AirFlow)
- Experience with APIs (develop and consume) – frameworks such as Django, Express
- Experience with training custom Tesseract models for OCR
- Experience of working in a highly automated software engineering ecosystem enabled with cloud-native technologies, CI-CD
Functional skills:
- Work in an agile environment, and on complex, ambiguous problems
- Strong verbal and written communication
Job Type: Contract
Salary: $85,822.54 - $123,784.89 per year
Benefits:
- 401(k)
- Flexible schedule
- Relocation assistance
Schedule:
- 10 hour shift
- 8 hour shift
- Day shift
- Holidays
- Monday to Friday
- On call
- Overtime
- Self-determined schedule
- Weekend availability
Supplemental pay types:
- Bonus pay
Ability to commute/relocate:
- Irvine, CA 92602: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- This position was on W2,are you comfortable to work on W2?
Work Location: One location
Speak with the employer
+91 9414623369
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