Designs, develops, deploys, and optimizes machine learning models and AI solutions for enterprise automation, analytics, and decision-making. Analyzes datasets, improves data pipelines, collaborates with cloud and engineering teams, supports AI-driven workflows, contributes to solution design, and documents technical processes. The role requires Python, machine learning frameworks, cloud platform experience, SQL, APIs, and knowledge of MLOps and AI deployment pipelines.
This is a remote position.
The AI Engineer will design, build, and optimize machine learning and AI solutions that support enterprise automation, analytics, and intelligent decision-making. The role requires strong analytical thinking, technical execution, and the ability to work effectively within remote consulting teams.
- Develop and deploy machine learning models and AI solutions
- Analyze datasets and optimize data pipelines
- Collaborate with cloud and engineering teams on AI implementation
- Support automation and AI-driven workflow initiatives
- Participate in solution design and technical discussions
- Document technical processes and project updates
- 4–8 years of experience in AI, Machine Learning, or Data Engineering
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of APIs, SQL, and data processing workflows
- Strong problem-solving and communication skills
- Ability to work in remote, cross-functional teams
- Experience within fintech, banking, or enterprise consulting environments
- Understanding of MLOps and AI deployment pipelines
- Relevant AI or Cloud certifications are an advantage
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Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
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- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
