Overview
Remote
On Site
USD 120,001.00 - 160,000.00 per year
Full Time
Skills
DevSecOps
Security Clearance
Analytics
Modeling
Data Analysis
Training
Version Control
Amazon Lambda
Storage
Meta-data Management
Data Management
Promotions
Workflow
Computer Science
Cloud Computing
Amazon S3
Amazon RDS
Remote Desktop Services
Management
Data Science
Databricks
Bitbucket
Programming Languages
SQL
Python
R
Apache Spark
Machine Learning (ML)
Data Security
Privacy
Regulatory Compliance
Continuous Integration
Continuous Delivery
Communication
Collaboration
Amazon Web Services
Cloud Architecture
Artificial Intelligence
SAP BASIS
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2414893
Location: REMOTE WORK, VA, US
Date Posted: 2024-11-19
Category: Software
Subcategory: DevSecOps
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No
Description
We are seeking an experienced Data Science & AI Platform Engineer to build and maintain a secure, monitored, cloud-hosted production laboratory. The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment.
Key Responsibilities:
Qualifications
Desired Skills:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: REMOTE WORK, VA, US
Date Posted: 2024-11-19
Category: Software
Subcategory: DevSecOps
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No
Description
We are seeking an experienced Data Science & AI Platform Engineer to build and maintain a secure, monitored, cloud-hosted production laboratory. The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment.
Key Responsibilities:
- Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure.
- Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training.
- Integrate tools with TCloud Bitbucket for version control and collaboration.
- Configure AWS S3 buckets for Feature Store, ensuring compliance with IRS UNAX rules and separate security contexts for different teams.
- Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry.
- Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and .metadata management.
- Integrate with AWS RDS for robust data management and retrieval.
- Configure SNS notifications for model promotion workflows.
- Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field and 7 years experience.
- Proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.).
- Expertise in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.
- Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark.
- Familiarity with machine learning frameworks and libraries.
- Deep understanding of data security and privacy, especially in compliance with IRS standards.
- Experience with CI/CD pipelines and infrastructure as code.
- Excellent communication skills and the ability to collaborate with cross-functional teams.
Desired Skills:
- Previous experience working in a regulated environment, particularly within government agencies like the IRS.
- Certifications related to AWS or cloud architecture.
- Knowledge of Responsible AI practices and principles.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.