Artificial Intelligence and Machine Learning Engineer

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

Requirements and 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
• Confident Python developer and have strong skills into application best practices (code modularity, unit tests, documentation, etc.)
• Fluent in ML libraries like NumPy, Pandas, SciPy, Scikit-Learn and Pytorch
• 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
• Proficiency 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