Senior AI/ML Engineer - Onsite Role in WA - Locals Only - No Relocation

Hi,

This is Jaydeep Singh from Empower Professionals, we have an opportunity for an AI/ML Engineer, this is a hybrid role in WA, looking for local Candidates only.

Role: Senior AI/ML Engineer

Location: Snoqualmie, WA (Fully onsite)

Duration: 12+ Months

Mandatory Skills: AI/ML, GenAI, Cloud, RAG, ADF

Summary:

We are seeking a Senior AI / ML Engineer with strong handson experience in Artificial Intelligence, Machine Learning, and Generative AI to design and deliver enterprisegrade, productionready AI solutions.
This is an AI/MLfocused role, with data engineering skills as a secondary capability to support scalable and highquality data pipelines.

Responsibilities:

AI / ML & Generative AI (Primary):

• Design, build, and deploy AI/ML solutions, including deep learning, NLP, LLMs, and generative AI
• Develop and operationalize endtoend ML pipelines (feature engineering, training, deployment, monitoring)
• Build and optimize LLMbased architectures, including prompt engineering and RAG patterns
• Lead AI experimentation and prototyping to solve complex business problems
• Implement MLOps and CI/CD practices for reliable and scalable AI systems
• Establish AI best practices covering governance, security, and observability

Data Engineering & Analytics:

• Design and maintain scalable data pipelines supporting AI and analytics use cases
• Build and manage cloud data platforms using Snowflake
• Develop ETL/ELT pipelines using Azure Data Factory (ADF) or equivalent tools
• Create dashboards and analytical views using Power BI / Tableau
• Ensure data quality, performance, and reliability across pipelines

Requirements:

• Strong Python skills for AI/ML development and analytics
• Handson experience with machine learning, deep learning, NLP, and LLMs
• Experience delivering productiongrade AI solutions
• Experience with Snowflake and cloud data platforms
• Experience with ADF or similar ETL/ELT tools
• Knowledge of CI/CD, DevOps, and cloud platforms (Azure preferred)
• Strong communication skills to translate technical concepts into business value

Preferred / NicetoHave

• Experience with MLOps, model monitoring, and observability
• Familiarity with vector databases, embeddings, and RAG architectures
• Experience integrating LLMs with enterprise systems
• Exposure to telecom or largescale enterprise data
• Experience working in Agile enterprise environments

In compliance with the salary transparency law, the expected pay range for this role is $60. Actual compensation depends on experience and interview evaluation.

Thanks,

Jaydeep Singh Raghav Technical Recruiter | Empower Professionals

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