Principal Machine Learning Engineer
New
F
FactSet Research Systems Inc.Financial Data
This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.Full-TimePrincipal
Salary177,000 - 217,000 USD per year
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Job Details
- Experience
- Master’s degree in Computer Science, Mathematics, Statistics, or related technical field and 6 years of related technical experience.
- Required Skills
- Node.jsPythonElasticSearchMachine LearningMongoDBRedisDeep Learningscikit-learnNLP
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, MongoDB, and RabbitMQ.
- 3 years of experience with a caching technology such as Redis or Memcached.
- 3 years of experience with Git and Restful Web Design.
- 3 years of experience working with times series data.
- 3 years of experience with Python and Elasticsearch.
- 3 years of experience with scikit-learn, Numpy, and Spacy libraries.
- 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 in NLP mining, data cleaning, pre-processing, and transformation.
- 3 years of experience combining multiple ML approaches like active/supervised/semi-supervised learning.
- 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.
- Serve as a 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.
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