Job Description
<h3>📋 Description</h3> • Design, develop, maintain, and support IT systems that align corporate business vision and strategy with stakeholder input, translating them into objectives for building, enhancing, or replacing capabilities.
• Implement a comprehensive IT roadmap while ensuring resilience to change remains a core architectural and strategic objective for the enterprise.
• Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
• Create technical diagrams and documentation to show PoC implementations and potential production implementation.
• Make recommendations on relevant tools/packages to use for production environments.
• Consult members of architecture teams to identify potential automation solutions which may include AI/ML.
• Collaborate with cross functional teams on holistic AI/ML solutions.
• Perform research and testing to develop machine learning algorithms and predictive models.
• Utilize big data computation and storage tools to create prototypes and datasets.
• Integrate, test, tune, and monitor solutions. <h3>🎯 Requirements</h3> • A degree from an accredited College/University in Software Engineering, Computer Science, Business, or related discipline is preferred.
• 20+ years of IT-related experience.
• Expertise in data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets.
• Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or Scikit-learn.
• Proficiency deploying Python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
• Strong experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using CI/CD pipelines.
• Strong experience in implementing data science solutions, including data pipelining, feature engineering, and developing machine learning models.
• Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.
• Demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing 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.)