Senior Machine Learning Engineer

2 months ago

mumbai, India WiseBee Consultants Full time

Job Description and Duties :


- 6 - 10 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

- Use exceptional mathematical skills, in order to perform computations and work with algorithms involved in NLP and Text Analytics use-cases

- 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 self-running 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.

Desirable skills (Nice to have) :

- 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 multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks

- Skilled in analytics dashboard development (ideally PowerBI)

Qualifications :

- 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 (ref:hirist.tech)

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