Staff Data Engineer
Philadelphia, Colorado, United States of America
Full Time
2 weeks ago
$98,500 - $206,800 USD
No Visa Sponsorship
Key skills
AWSCloudDockerEC2LinuxNumpyPandasPythonTypeScriptC++CAIArtificial IntelligenceMachine LearningMLNatural Language ProcessingLarge Language ModelsLangChainNumPyLambdaS3BedrockGitGitLabBitbucketVersion ControlAgile
About this role
Role Overview
- Lead and mentor an interdisciplinary team consisting of both developers and researchers
- Assemble large, complex sets of data to support AI/ML algorithm implementation
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources
- Curate and maintain data used for metrics and evaluation
- Implement Artificial Intelligence/Machine Learning algorithms
- Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability
- Optimize data delivery and automate manual processes
- Use Agile methodologies to develop software
Requirements
- B.S. in data science, AI/ML, computer science, or related field
- Minimum 8 years of relevant experience as a Data Engineer/Scientist
- Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
- Active TS/SCI U.S. Government Security Clearance
- M.S. or PhD in Data Science, AI/ML, Computer Science, or related field (desired)
- Experience with Gitlab, DevSecOps utilizing test-driven development, containers (e.g. Docker, Docker Compose), cloud services (e.g. AWS)
- Experience leading an interdisciplinary team of researchers and software developers (desired)
- Experience with Large Language Models and applying Transformer-based architectures
- Experience with Natural Language Processing algorithms such as BERT
- Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc.
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries (desired)
- Experience shaping and writing proposals (desired)
Tech Stack
- AWS
- Cloud
- Docker
- EC2
- Linux
- Numpy
- Pandas
- Python
- TypeScript
Benefits
- Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
- Flexible time off benefit
- Access to robust learning resources