AI Engineer

About the role

The AI Engineer will 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.

Responsibilities

• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• Write production-quality code and maintain existing AI systems.
• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• STEM Bachelor's degree: 14+ years of experience.
• No Degree: 18+ years of experience.

Qualifications

• Experience with AWS and MLOps tools.
• Experience with machine learning model development and evaluation.
• Experience with cloud platforms and data analysis.

Skills

• Design and Development: Lead the design and development of AI-driven solutions.
• Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA).
• Model Building and Evaluation: Develop, train, and evaluate machine learning models.
• Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams.
• Cloud Platforms: Experience with AWS and MLOps tools.

Benefits

Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Annual base salary range: $175,000-$250,000 (USD)

Up to 2 days/week telework

Comprehensive benefits package including:

• 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company.
• Option to cash out annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week).
• 1.3 times your hourly rate once you work over 1880 hours on contract!
• 6 weeks of additional annual leave for a total of 240 hours of leave plus 11 holidays!
• Student loan repayment program.
• Volunteering program.

Pay

Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Annual base salary range: $175,000-$250,000 (USD)

Schedule

Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Up to 2 days/week telework