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SENIOR SOFTWARE ENGINEER - AI / ML SME
UNABLE TO WORK WITH THIRD PARTIES
SmoothStack is recruiting for a Senior Software Engineer with a strong focus in AI / ML methodologies and significant hands-on experience in Cloud Native development to drive the creation of next-generation, data-driven applications.
This position is hybrid in the DMV area.
You will be responsible for the following :
- Lead Cloud Native development initiatives with a strong focus on AI / ML and data science. Design and prototype robust applications that integrate complex data processing methods and functions tailored to enhance the functionality and efficiency of the 2030 Decennial SoS.
- This role is not focused on LLM, ChatGPT or other similar technologies, it instead focuses on and requires linking and matching AI experience.
The primary responsibility in the role is not developing algorithms, but integrating algorithms under development by other Census teams.
Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI / ML models and Big Data processing.
Provide technical leadership in data analysis, model verification, implementation reviews, and performance enhancement.
Take responsibility in maintaining a clean, efficient, version controlled code base. Ensure thorough documentation of development processes, release notes, and data sets for future reference and policy compliance.
Engage in brainstorming sessions and propose innovative solutions and approaches that take full advantage of AWS cloud-native services and technologies to meet the evolving needs of the US Census Bureau.
Qualified candidates will have the following education and experience to be considered :
- Bachelor's Degree in Computer Science, Engineering, or a related field, complemented by at least 8 years of hands-on development experience, preferably in government-related projects or other high-stakes, public-facing environments.
- Proven mastery in Cloud-Native development, with a strong focus on Python and PySpark, AWS SageMaker, and a solid track record of developing, deploying, and managing sophisticated cloud-native solutions.
C# and other similar development skills are also critical.
- Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools.
- U.S. Citizenship is required with the ability to pass a Department of Commerce Public Trust investigation.
Desired Skills :
- Experience with US Census Bureau and AWS technologies highly desirable.
- Strong analytical and problem-solving skills, excellent communication abilities, and a proven record of leading data-centric development projects from start to finish.
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