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Job Description
Bazze is an AI powered data marketplace that enables government and enterprise customers to answer their most difficult questions. From tracking foreign weapons programs to predicting quarterly revenue surprises, customers use Bazze to generate game changing insights from an expanding array of commercial data vendors.
Responsibilities
- Develop and deploy a robust and scalable language model that interacts with an API, extracting insights and generating responses based on user queries or input.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define the requirements and specifications for the language model.
- Preprocess and analyze the dataset to extract relevant features and ensure data quality for training and evaluation purposes.
- Utilize state-of-the-art NLP algorithms and deep learning frameworks to design and train the language model, incorporating techniques such as transfer learning, attention mechanisms, and sequence modeling.
- Implement efficient data pipelines and integration with the API, ensuring seamless communication and data flow between the language model and external systems.
- Conduct thorough testing and evaluation of the language model's performance, including metrics such as accuracy, precision, recall, and computational efficiency.
- Stay up to date with the latest advancements in NLP, deep learning, and AI research to incorporate innovative approaches into the language model development process.
Minimum qualifications
- A bachelor's degree or higher in computer science, data science, machine learning, or a related field.
- Experience coding and scripting in one or more languages: Python, Bash, R.
- Experience working with large-scale datasets and building machine learning models.
- Have experience with containerization and DevOps
Preferred qualifications:
- Strong NLP and deep learning expertise, including building and fine-tuning large-scale language models like GPT-3, BERT, or Transformer-based architectures.
- Proficiency in NLP libraries and frameworks such as NLTK, Spacy, or Hugging Face's Transformers.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
Benefits - Benefits we offer include
- Health: Bazze pays 99% of premium for medical, dental, and vision for you and 100% for dependents
- 401K: Bazze matches 100% of contributions on the first 6% deferred salary, so up to $9.6K/year
- Vacation: unlimited, just give a heads up before you take time off so we can plan around it
- Continuing education: we'll pay for courses that plugs critical skill gaps
Key Responsibilities
Develop and deploy scalable language models interacting with APIs
Collaborate with cross-functional teams to define model requirements
Preprocess and analyze datasets to ensure data quality
Utilize NLP algorithms and deep learning frameworks for model training
Implement efficient data pipelines and API integrations
Conduct testing and evaluation of model performance metrics
Stay updated with latest advancements in NLP and AI research
Requirements
Bachelor's degree in computer science
data science
machine learning
or a related field
Skills Required
PythonBashRMachine LearningDeep LearningNLPContainerizationDevOpsCollaborationGPT-3BERTTransformer-based architecturesNLTKSpacyHugging Face Transformers
Benefits
99% of premium for medical, dental, and vision for employee
100% of premium for dependents
401K match up to $9.6K/year
Unlimited vacation
Continuing education coverage
App exclusive · Free
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