A.C.Coy Company

Sr. AI Engineer, Architect, Remote

A.C.Coy Company

contract

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonScikit-LearnSparkTensorflow

About the role

  • 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.

Requirements

  • 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.)