Sr. AI / Python Engineer (no C2C Candidates Please)

Please note that all applicants must be US Citizens or Green Card Holders and no C2C candidates will be accepted. SUMMARY: • 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.)