Homeoffice Sr. AI/Python Engineer (Remote) bei A.C. Coy
A.C. Coy · Raleigh, Vereinigte Staaten Von Amerika · Remote
- Senior
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.
- 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.
- 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.)
