Principal Machine Learning Engineer, YM2026PMLE
About The Position
Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. Work on diverse machine learning models with an emphasis on optimizing techniques for text data classification and natural language processing. Collaborate on projects that leverage AI to transform data insights and enhance domain-specific applications, promoting the integration of various machine learning approaches to achieve superior results. Serve as key technical leader and provide thought leadership on best practices in the field. Engage in cross-functional collaboration with product teams to align AI capabilities with strategic business goals. Role includes staying current with emerging technologies and trends to ensure the continuous improvement and effectiveness of AI solutions.
Requirements
- Master’s degree in Computer Science, Mathematics, Statistics, or related technical field
- 6 years of related technical experience
- 3 years of experience with Node.js
- 3 years of experience with MongoDB
- 3 years of experience with RabbitMQ
- 3 years of experience with a caching technology such as Redis or Memcached
- 3 years of experience with Git
- 3 years of experience with Restful Web Design
- 3 years of experience working with times series data
- 3 years of experience with Python
- 3 years of experience with Elasticsearch
- 3 years of experience with libraries scikit-learn, Numpy, Spacy
- 3 years of experience applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain specific text classifications
- 3 years of experience with NLP processing in mining data, cleaning, pre-processing and transformation
- 3 years of experience combining multiple ML approaches like active/supervised/semi-supervised learning to achieve a better result
- 3 years of experience developing tagged data sets
Responsibilities
- Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions.
- Work on diverse machine learning models with an emphasis on optimizing techniques for text data classification and natural language processing.
- Collaborate on projects that leverage AI to transform data insights and enhance domain-specific applications, promoting the integration of various machine learning approaches to achieve superior results.
- Serve as key technical leader and provide thought leadership on best practices in the field.
- Engage in cross-functional collaboration with product teams to align AI capabilities with strategic business goals.
- Stay current with emerging technologies and trends to ensure the continuous improvement and effectiveness of AI solutions.
Benefits
- internal FactSet employee referral program
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What This Job Offers
Job Type
Full-time
Career Level
Principal
