ML Engineer

Job description:
This role needs specializing in machine learning or a related field having 4+ years’ experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Responsibilities 
· Develop predictive models using supervised and unsupervised machine learning/deep learning 
· Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection 
· Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets 
· Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams 
· A self-starter who can align the technology solution with a business goal Qualifications 
· 3+ years’ experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning 
· Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc. 
· Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch 
· Experience in applying deep learning to NLP 
· Computer vision modeling a plus 
· Experience with designing, building, and optimizing data and model training pipelines 
· Experience in SageMaker or Azure ML Studio a plus 
· Experience with cloud-based platforms (AWS or Azure) for solution delivery 
· Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)

Mandatory skills: NLP, Deep Learning, Machine Learning, Python, TensorFlow, Keras, PyTorch,