- Use exceptional mathematical skills, in order to perform computations and work with algorithms involved in NLP and Text Analytics usecases
- Able to implement text analytics methods such as Topic modelling, Sentiment analysis, Text Summarisation, Text Classification, Language translation, Names Entity recognition
- Design machine learning systems and selfrunning artificial intelligence (AI) software to automate predictive models, and automate intelligent extractions of data from PDFs, OCRs and other document sources, and into data lake/data warehouse and structured table.
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Able to work comfortably with Microsoft Azure cloud platform/stack skilled in productionising ML models into Azure architecture
- Experienced in building time series forecasting models
- Highly competent in MLOps practice, and be able to establish it for the organisation
- Highly skilled in developing Continuous delivery and Automation pipelines in machine learning
- Test and Monitor Machine Learning Model Deployments
- Transforming business requirements into usable machine learning solutions for the business
- Run machine learning tests and experiments, and document findings and results
- Train, retrain, and monitor machine learning systems and models as needed in Azure platform
- Construct optimised data pipelines to feed machine learning models, and build insights for the business.
- Highly experienced in Keras, TensorFlow and PyTorch
- Highly experienced in Python, Java, and R
- Experienced in deploying production ready APIs using FastAPI Framework
- Experienced in various deep learning architectures and neural networks in general
- Designing and implementing conversational agents or virtual assistants that can understand and respond to human language queries using techniques like intent recognition and response generation.
- Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
- Solving complex problems with multilayered data sets, as well as optimizing existing machine learning libraries and frameworks
- Skilled in analytics dashboard development (ideally PowerBI)
- Degree in Computer science, Machine Learning, Data Science or other related discipline
- Master's degree in Computational Linguistics, NLP, or similar will be highly advantageous
- Proven experience as Machine Learning Engineer or Senior Machine Learning Engineer )
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Senior Machine Learning Engineer - mumbai, India - WiseBee Consultants
Description
Job Description and Duties :
years overall experience as ML Engineer or Data Scientist and able to work comfortably with Microsoft Azure cloud platform/stack skilled in productionising ML models into Azure architecture