This is a full-time, 5-day onsite role based in Seattle, WA. Candidates must currently live in the Seattle area or be willing to go onsite for interview and be able to relocate prior to start. Remote or hybrid arrangements are not available for this position.
The Role
Unify is seeking an experienced Data Scientist / Applied Scientist to help design and deliver cutting-edge, production-grade AI solutions for our clients. This role is ideal for someone who thrives in complex problem spaces and enjoys translating advanced machine learning techniques into scalable, business-ready applications. This position requires a full-time, 5-day onsite presence in Seattle, enabling close collaboration with client stakeholders and cross-functional delivery teams.
You will work hands-on with Large Language Models (LLMs) and modern NLP techniques, leveraging AWS services such as Amazon Bedrock to build intelligent systems that enhance customer experience and unlock new value. The work spans model development, system design, and active participation in client-facing engagements—ensuring solutions are not only technically robust, but also practical, trusted, and impactful in real-world environments.
Key Responsibilities
- Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems
- Build and optimize large-scale NLP and Generative AI solutions, including applications leveraging LLMs
- Develop scalable data pipelines and AI architectures to support production-grade deployments
- Implement and support Retrieval-Augmented Generation (RAG) patterns to improve accuracy, relevance, and grounding of model outputs
- Collaborate closely with consulting, engineering, and client teams to support data-driven decision-making
- Contribute to best practices across model development, deployment, and MLOps
Requirements
- Master’s degree in Computer Science, Machine Learning, or a related field
- 5+ years of experience in applied machine learning and deep learning
- Strong proficiency in Python and modern ML frameworks
- Extensive hands-on experience with Large Language Models and transformer-based architectures
- Demonstrated experience deploying ML models into production environments
- Strong experience with AWS, including Amazon Bedrock, SageMaker, Lambda, ECS, and S3
- Familiarity with MLOps practices, tooling, and model lifecycle management
- Hands-on experience designing and implementing RAG architectures
- Knowledge of vector databases and semantic search
- Experience with prompt engineering and model fine-tuning
- Familiarity with containerization and microservices architectures
- Ability to clearly communicate technical concepts to non-technical stakeholders
Preferred Experience:
Please Note
- We are unable to sponsor or transfer visas for this position. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future.
- You must currently live in the Greater Seattle area, and be willing to go onsite 5 days/week
- Please no resumes from third-party agencies or recruiters
Top Skills
What We Do
At Unify Consulting, our model breaks the mold with a custom approach to every unique challenge. Unify consultants dare to uncover what matters, empower breakthroughs, and deliver with purpose to better our world now. Relationships are at the center of everything we do. Without meaningful connections, there’s no way we can continue doing what we do best – shapeshift to each client’s context, bringing human-centered perspectives and solutions, designed to multiply impact and last. Unifiers strive to practice anti-racism, gender justice, and belonging to co-create thriving, equitable communities. As a firm, we’re committed to a building a sustainable, inclusive future. With offices in Seattle, San Francisco, Silicon Valley, Chicago, and Dallas and delivery centers in Sioux Falls, Fargo and Salt Lake City, let’s bring the best of us together. LET’S UNIFY! For more information about our services or employment visit www.unifyconsulting.com.
