Skills

Communication Python Data Engineering Problem-solving Research Machine Learning AWS cloud platforms Data Science Large Language Models

Job Specifications

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.

About the Company

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