- 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
- Collaborate effectively with other teams across Wolters Kluwer
- A self-starter who can align the technology solution with a business goal
Qualifications
- 3+ years of experience in supporting the development of production-ready solutions leveraging AI technologies
- 3+ years of experience with Machine Learning, NLP, and Deep Learning
- Experience in applying Deep Learning to NLP
- Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, Transformers, etc.
- Experience with Deep Learning frameworks such as TensorFlow, Keras, Pytorch
- Experience with designing, building, and optimizing data and model training pipelines
- 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)
Preferred Qualifications
- Computer vision modeling
- Experience in AWS SageMaker or Azure ML Studio
Interview Process:
- 1st round: technical test
- 2nd round: technical interview with the team
Overlap Hours: 5+ hours with EST
Contract Length: 12 months, renewable
Requirements & Notes
Assessment Path: Machine Learning Engineering; Max All-in rate: $4000/Month; Location: India only; Working hours: 5+ hours overlap with EST; Must-Haves: Python, Deep Learning, NLP, Pytorch or Tensorflow, AWS or Azure. Nice-to-have: Computer Vision, AWS Sagemaker, Azure ML Studio.