Data Scientist

CirrusLabs, LLC; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

CirrusLabs, LLC seeks a Data Scientist/Senior AI Solutions Engineer to design and deploy ML/LLM-based systems in a hybrid/remote Atlanta environment. Drive end-to-end AI solutions, from data pipelines to production services, collaborating with product, data, and engineering teams.

The role emphasizes building scalable AI capabilities, staying current with AI advancements, and mentoring junior engineers. Strong Python skills and full ML lifecycle experience are required.

Qualifications

• BA/BS in Information Technology or Computer Science or related field, 5+ years of related experience.
• Experience across full ML lifecycle from development to deployment and monitoring.

Responsibilities

• Translate business problems into scalable AI/ML solutions across product and engineering teams.
• Design, build and deploy end-to-end ML/LLM-based systems and data pipelines.
• Mentor team members and lead small to mid-sized projects.
• Ensure monitoring, reliability and performance of AI/ML services in production.
• Work with cloud-based ML platforms and scalable architectures.

Skills

Python programming

ML/AI concepts

LLMs

Vector search

Cloud platforms

Cross-functional collaboration

Education

BA/BS in IT/CS or related

MS/PhD preferred

Tools

OpenSearch

AWS Bedrock

API development

Job description

Data Scientist/Senior AI Solutions Engineer /Sr AI ML Specialist

Atlanta, GA - Hybrid or Remote

Please Look for USC

The Senior AI Solutions Engineer /Sr AI ML Specialist (will build and scale intelligent systems that improve healthcare outcomes. You will design, build, and deploy machine learning and LLM-based systems, taking models from experimentation to production within assigned client group, business unit or corporate department and utilizing various customer technology platforms.

How You Will Make an Impact:

• Maintains active relationships with product, data, engineering, architecture, and business teams to translate business problems into scalable AI/ML solutions.
• Applies AI/ML capabilities and modern AI tools to solve meaningful business problems, improve healthcare outcomes, and enable practical adoption across business workflows, digital products, and enterprise applications.
• Owns the change request process and may coordinate with other teams as necessary.
• Provides technical advice and weighs in on technical decisions that impact cross-functional teams, including AI/ML and advanced analytics solutions.
• Researches and may propose new technologies, keeping abreast of developments in AI and applying them to enterprise use cases where relevant.
• Designs, builds, and deploys end-to-end ML and LLM-based systems (data pipelines, models, prompts, APIs, and monitoring).
• Develops, evaluates, deploys, and monitors machine learning models for predictive, classification, optimization, personalization, and decision-support use cases.
• Builds applied AI solutions such as semantic search, RAG pipelines, and embedding-based systems.
• Develops production-ready AI/ML services, APIs, pipelines, and reusable components; improves performance, scalability, reliability, usability, and operational readiness in production.
• Performs technical design reviews and code reviews; provides technical leadership through solution design, best practices, troubleshooting, and mentoring junior team members.
• Assesses status and supports data information planning.
• Coordinates on-call support and ensures effective monitoring of systems, including AI/ML model performance and reliability.
• Mentors others and may lead multiple or small to medium-sized projects; influences engineering standards and technical direction.
• Identifies and proposes strategies around technical problems affecting the team, communicates standards, and gains buy-in on solutions.

Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; multi-dimensional platform experience; experience with business and technical applications, or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and Experiences:

• Masters or PhD preferred.
• Advanced Python skills for machine learning and data processing preferred.
• Experience across the full ML lifecycle (development → deployment → monitoring) preferred.
• Hands-on experience with fine tuning SLMs, LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch preferred.
• Experience building production AI systems (APIs, pipelines, microservices) preferred.
• Familiarity with responsible AI principles (fairness, explainability, privacy) preferred.
• Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or equivalent AI model cloud providers) preferred.
• Healthcare domain experience, including familiarity with data privacy and regulatory requirements preferred.