Data ScientistApplied Scientist Onsite in Seattle
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 engagementsensuring 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-scaleNLP 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
- Masters 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
Preferred Experience:
- 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
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
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Unify Consulting is a leading AI consulting firm that meets your unique needs. We don't just offer advice; we provide sustainable measures that empower individuals and businesses to thrive today and in the future. From strategic planning to advanced solutions, we're here to guide you ... View more
