About the Role
5 years experience as a data scientist [delivering production ML pipelines]
Strong programming skills in Python
Experience with data manipulation and analysis tools (e.g., SQL, pandas)
Expertise in statistical analysis and model validation techniques
Deep working knowledge of machine learning algorithms and popular machine learning frameworks/libraries (e.g. TensorFlow, PyTorch)
Extensive experience in NLP and popular libraries (e.g., NLTK, spaCy, FastText)
Understanding of common models used in machine learning for clustering, personalization, and recommendation systems
Ability to visualize data and present findings to technical and business stakeholders
Requirements
Design and implement a SPlink model
Lead the development and optimization of machine learning pipelines for identifying and scoring duplicate records across large, inconsistent datasets
Stay abreast of industry trends and advancements in AI and machine learning
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About the Company
As a Senior Machine Learning Engineer at LakeFusion.AI, you will be the lead technical resource developing state of the art machine learning models that will be incorporated into all aspects of the product. You will help design, define, and implement our standard approach to MDM with ML, and assist in the initial training of our presales and sales leads on higher / medium level details of the design.