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BURGEON IT SERVICES LLC

AI Engineer @ Redmond, WA _ Onsite

Career Insights for Natural Language Processing Engineer

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$160,729 / year median in Washington

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Job Description

Position:
AI Engineer Location:
Redmond, WA _
Onsite Duration:
Full Time We are seeking an experienced AI Engineer to design, develop, and deploy AI-driven solutions that enhance business processes and deliver innovative products. The ideal candidate will have strong expertise in machine learning, deep learning, and data engineering, along with proficiency in programming and cloud platforms.
Key Responsibilities Model Development:
Design, train, and optimize machine learning and deep learning models for various applications.
Data Processing:
Collect, clean, and preprocess large datasets for training and inference.
Deployment:
Implement and deploy AI models into production environments using scalable architectures.
Research & Innovation:
Stay updated with the latest AI trends and integrate cutting-edge techniques into solutions.
Collaboration:
Work closely with data scientists, software engineers, and product teams to deliver AI-powered features.
Performance Monitoring:
Continuously monitor and improve model accuracy, efficiency, and reliability.
Develop :
Microsoft related
AI Tools Required Skills & Qualifications Education:
Bachelor s or master s in computer science, AI, Data Science, or related field.
Technical Skills:
Proficiency in Python, Agentic AI(autogen),MCP, OpenAI Strong understanding of machine learning algorithms, NLP, and computer vision. Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and containerization (Docker, Kubernetes). Knowledge of data engineering tools and frameworks. Experience in code debugging, API Design knowledge
Soft Skills:
Problem-solving, analytical thinking, and excellent communication. Preferred Qualifications Experience with LLMs (Large Language Models),Agentic AI and generative AI. Familiarity with MLOps practices and CI/CD pipelines. Hands-on experience with API development and integration. Hands-on experience in Microsoft related AI Tools

Benefits

  • Dental Insurance