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AI Engineer- Experienced Associate- Commercial Technology & Innovation

Confidential ClientConsulting
Entry LevelFull-timeOn-Site$129,485
Washington, District of Columbia
14 Hours Ago

The AI Engineer - Experienced Associate at Confidential Client is responsible for designing and implementing AI and machine learning solutions that transform raw data into actionable business insights. This role involves developing scalable AI systems, building data pipelines, and collaborating with cross-functional teams to support client engagements and drive business growth through advanced data analysis and AI technologies.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Overview

Confidential Client is looking for an AI Engineer (Experienced Associate level) to contribute to design, build, and deploy AI and machine-learning solutions at scale. This role focuses on transforming raw data into reliable, production-ready models and services, supporting client engagements across commercial technology and innovation programs.


Responsibilities

  • Design and implement AI systems that convert raw data into actionable business insights
  • Develop and deploy machine-learning models using Python and TensorFlow
  • Build and maintain data pipelines and infrastructure that support AI solutions
  • Perform complex data analysis to drive informed decision-making
  • Integrate data from multiple sources to improve data quality and model accuracy
  • Use compiled languages (C++, Java) when required for performance-sensitive components
  • Apply natural language processing techniques for text analytics and sentiment analysis
  • Collaborate with cross-functional teams to deliver scalable, production-grade AI systems
  • Continuously learn and adopt new tools, frameworks, and best practices
  • Support client-facing engagements by providing technical expertise in AI and ML

What You Must Have

  • At least a Bachelor's degree in a relevant field
  • Minimum of 1 year of professional experience in data, analytics, or software engineering

What Sets You Apart (Preferred / Nice-to-Have)

  • Degree or coursework in Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science, Information Systems, or Engineering
  • Certifications or credentials aligned to data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, etc.)
  • Hands-on experience building data pipelines and validating data quality
  • Experience developing ML models using TensorFlow and Scikit-learn
  • Proficiency with Python and familiarity with C++ or Java for AI software development
  • Experience with NLP, text analytics, or sentiment analysis
  • Demonstrated ability to implement AI in production environments

Compensation & Benefits

  • Salary range: $63,000 — $140,000 (actual pay depends on skills, experience, qualifications, and location; subject to applicable employment laws)
  • Eligible employees may receive an annual discretionary bonus
  • Benefits typically include medical, dental, vision, retirement (401k), paid time off, and other standard offerings provided by the confidential client (details provided during the hiring process)

Additional Notes

  • This is a full-time role based in Washington, DC
  • The confidential client evaluates candidates fairly and in accordance with local and federal employment laws
  • The confidential client has stated policies on immigration sponsorship and background checks; specifics will be shared during the process where applicable

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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