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AI​/ML Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: micro1
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Job Title: AI/ML Engineer

Job Type: Full-time, Contractor

Location: On-site Washington, District of Columbia, United States, District of Columbia

Job Summary

Join our customer's team as an AI/ML Engineer and play a pivotal role in architecting and deploying cutting‑edge AI solutions. Be part of an innovative environment where your expertise with Python, LLMs, Retrieval-Augmented Generation (RAG), and AWS will be fully leveraged to deliver impactful, production‑grade machine learning systems.

Key Responsibilities
  • Design, develop, and deploy AI/ML models, with a focus on Large Language Models and RAG architectures.
  • Implement scalable, secure, and high-performance machine learning pipelines on AWS infrastructure.
  • Collaborate cross‑functionally to understand business needs and translate them into technical solutions.
  • Continuously optimize models and workflows for robustness, accuracy, and efficiency.
  • Conduct research to evaluate new algorithms and integrate state‑of‑the‑art techniques into existing frameworks.
  • Document code, workflows, and processes, emphasizing clarity and concise communication.
  • Foster a collaborative environment through effective written and verbal communication.
  • Required

    Skills and Qualifications
  • Proficiency in Python with experience in developing and deploying AI/ML solutions.
  • Deep understanding of Large Language Models and Retrieval-Augmented Generation techniques.
  • Hands‑on experience with AWS services related to machine learning and data engineering.
  • Strong analytical and problem‑solving skills, with a drive for innovation.
  • Excellent written and verbal communication abilities.
  • Demonstrated ability to work effectively in fast‑paced, collaborative, on‑site environments.
  • Proven track record of delivering production‑level AI/ML systems.
  • Preferred Qualifications
  • Advanced degree in Computer Science, Data Science, or a related field.
  • Experience with additional cloud platforms and MLOps tools.
  • Contributions to open‑source AI/ML communities.
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