ML Engineer

• Co-create cutting-edge goods and services with customers throughout the world
• Create models for robotic accounting, conversational AI, natural language interpretation, forecasting, and anomaly detection in the legal domain
• Dispense knowledge in feature engineering, exploratory data analysis, and data wrangling with massive data sets
• Support the creation of proofs-of-concept that show how AI/ML capabilities may be used to solve customer problems in partnership with product and other development teams
• Effectively work with other teams
• Must be a self-starter who can match a technology solution with a commercial objective

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science, Mathematics (or equivalent experience) with a specialization in Machine Learning
• At least 5+ years of relevant experience as an ML Engineer
• 3+ years of experience supporting the development of solutions that are ready for production using AI technologies like NLP, Deep Learning, and Machine Learning
• Extensive knowledge of designing, constructing, and improving pipelines for training data and models
• Working knowledge of open source software like NumPy, SciPy, scikit-learn, Pandas, matplotlib, spaCy, NLTK, Jupyter, Anaconda, transformers, etc.
• Demonstrable experience with deep learning frameworks like TensorFlow, Keras, and PyTorch
• Prolific experience applying Deep Learning to NLP
• Experience delivering solutions on cloud-based systems like AWS or Azure
• Prior working knowledge of Test-Driven Development (TDD), Agile, and Software Development Lifecycle tools (such as JIRA, Confluence, and Git)
• Nice to have some knowledge of Computer Vision modeling
• Some familiarity and experience with SageMaker or Azure ML Studio is desirable
• Fluent in spoken and written English communication