Description A day in the life:We're looking for an AI Engineer to work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
What you bring to the table:- 10 + years of relevant experience with AI, Data Science and Development
- A Bachelor of Science degree in Computer Science or a related field from an accredited institution. Four (4) addn'l years of relevant experience may be considered in lieu of a degree
- Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes 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. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
- 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 to ensure models are accurate and unbiased.
- Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
- Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
The total package:Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information.
Salary Range:
- Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.
- Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $170,000 - $230,000.
Some of our additional perks and benefits include:
- Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
- Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
- Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
- Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
- Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
- Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
