Requirements
Qualifications : -Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field -At least 5 years of experience in designing and implementing machine learning and NLP models -Strong understanding of machine learning algorithms, techniques, and frameworks such as TensorFlow, PyTorch, and scikit-learn -You are a confident Python developer and have strong skills into application best practices (code modularity, unit tests, documentation, etc.) -You are fluent in ML libraries like NumPy, Pandas, SciPy, Scikit-Learn and Pytorch You have strong experience in packaging and delivering ML models in production Familiarity with NLP techniques such as text classification, named entity recognition, and sentiment analysis Experience with big data technologies such as Hadoop, Spark, and SQL You are proficient in Docker and advanced experience with DevOps tools Strong problem-solving and analytical skills Excellent written and verbal communication skills Ability to work independently and in a team environment Strong leadership and mentoring skills
Description
Responsibilities: Research and apply the latest machine learning and NLP techniques to solve business problems Experiment with new technologies and create proof of concepts to guide design and architecture choices Design and implement machine learning and NLP models to solve complex business problems Being responsible for evaluating and producing robust and innovative machine learning models Work with large and complex data sets to extract insights and build predictive models Collaborate with cross-functional teams to identify business problems and develop solutions Work together with our engineering team to deploy and enhance the models at scale Develop and optimize machine learning algorithms and models for performance and scalability Build and maintain data pipelines for data preprocessing and model training Communicate technical concepts and solutions to non-technical stakeholders