Sr. AI/Python Engineer (Remote)

Overview

• Tier One Technologies has an immediate need for a Sr. AI/Python Engineer to support our US Government client.
• This remote position will be originated in Raleigh, NC.
• Occasional travel may be required to support business efforts.
• SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities

• Design and develop scalable solutions using AI tools and machine-learning models.
• Perform research and testing to develop machine learning algorithms and predictive models.
• Utilize big data computation and storage tools to create prototypes and datasets.
• Conduct model training and evaluation.
• Integrate, test, tune, and monitor solutions.
• Perform data science tasks such as data acquisition, data cleaning, and feature extraction.
• Develop and demonstrate proofs of concept (PoCs), independently or as part of a team.
• Create technical diagrams and documentation to illustrate PoC implementations and potential production deployments.
• Research and present to teammates the latest tools, packages, and capabilities being developed.
• Recommend relevant tools and packages for use in production environments.
• Work with governance committees to document and obtain approval for exploratory data science initiatives.
• Collaborate with architecture teams to identify potential automation solutions, including AI/ML applications.
• Partner with cross-functional teams to design and implement holistic AI/ML solutions.

Qualifications

• A degree from an accredited College/University in Software Engineering, Computer Science, Business, or related discipline.
• 8+ years of IT-related experience.
• Practical Application of Core Python Concepts:Demonstrated experience not just with Python syntax but in building and deploying Python applications or scripts that address IT operational needs, automate processes, or manage data effectively.
• Data Engineering and Analysis Skills:Proven experience in data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques to enable robust analysis of large-scale datasets.
• Implementing and Deploying Cloud Applications:Hands-on experience deploying Python applications in cloud production environments (e.g., AWS, Azure, GCP), including the use of containerization tools such as Docker or Kubernetes.
• Understanding of Software Engineering Best Practices:Experience applying software engineering principles, including version control (Git), writing clean and testable code, participating in code reviews, and working within CI/CD pipelines.
• Knowledge of Data Science Best Practices:Demonstrated understanding and implementation of data science workflows such as data pipelining, feature engineering, and machine learning model development.
• Familiarity with Cloud-based Data Science Services:Proficiency with managed AI/ML services offered by major cloud providers to streamline the development, deployment, and maintenance of data science applications.
• Ethical Practices and Security Knowledge:Awareness and application of ethical guidelines in data science, including mitigating bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions.
• Ability to communicate effectively, both orally and in writing, with technical and non-technical team members.
• Must be able to obtain a Position of Public Trust Clearance.
• Be able to pass a drug screening, criminal history, and credit checks.
• Must be a US Citizen or have permanent residence status (Green Card).
• Must have lived in the United States for the past 5 years.
• Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)