
AI Engineer
Praxis Engineering
full-time
Posted on:
Location Type: Hybrid
Location: Annapolis Junction • Maryland • 🇺🇸 United States
Visit company websiteSalary
💰 $101,996 - $219,107 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudTypeScript
About the role
- Work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing architecture.
- Build solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
- Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with existing software architecture.
- Prototype new models, write production-quality code, and maintain existing AI systems.
- Serve as a key technical liaison, collaborating with cross-functional teams and articulating AI approaches to technical and non-technical stakeholders.
- Conduct Exploratory Data Analysis (EDA) on diverse datasets (structured and unstructured) to inform data models and identify data quality issues.
- Develop, train, and evaluate machine learning models; implement robust testing and validation strategies to ensure accuracy and mitigate bias.
- Stay current with AI/ML advancements and continuously improve systems by applying new technologies and methodologies.
- Use AWS cloud platform and MLOps tools for deploying and managing ML models at scale.
- Perform work under an active TS/SCI clearance with appropriate polygraph and be available for telework with commute to Maryland as required.
Requirements
- Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
- Four (4) years of additional developer experience may be substituted for a Bachelor’s degree.
- Minimum of 6 years of software development experience.
- Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
- Prototyping new models, writing production-quality code, and maintaining existing AI systems.
- Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
- Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
- Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements; implement robust testing and validation strategies.
- Continuous Improvement: Stay current with the latest advancements in AI and machine learning and apply new technologies and methodologies.
- Cloud Platforms: Experience with Amazon Web Services (AWS) and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
- Clearance: Active TS/SCI with an appropriate polygraph is required.
Benefits
- Attractive total compensation package to include competitive salary and medical benefits!
- Office perks such as free soft drinks and snacks (both healthy and not-so-healthy)
- Praxis swag (annual gift certificate to purchase top brand Praxis apparel)
- 401K contribution/match.
- 4 weeks Paid Time Off + 10 holidays
- Training is a priority! Take advantage of our endless in-house training opportunities - or seek out vendor offered (paid) training opportunities like conferences, certification courses and seminars.
- Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon.
- Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master...the list of certifications goes on and on!
- Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
- Tuition reimbursement!
- Opportunity for career advancement - Grow with the company!
- Employee Discounts!
- We truly believe the right work-life balance can exist, and it's here at Praxis. Our work is extremely important, but your job is just a part of who you are.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI advancementsmachine learningproduction-quality codeExploratory Data Analysis (EDA)data modelingmodel buildingmodel evaluationtesting strategiesvalidation strategiessoftware development
Soft skills
collaborationcommunicationleadershiptechnical liaisoncross-functional teamwork
Certifications
Bachelor's degreeactive TS/SCI clearancepolygraph