Senior Machine Learning Engineer - NLP/Deep Learning

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)

Location: Mumbai, IN

Posted Date: 4/24/2024