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Data ScientistSenior AI Solutions Engineer Sr AI ML Specialist
Job Location:
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
20 October 2026 (7 hours ago)
Posted:
Application Deadline:
17 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Scientist/Senior AI Solutions Engineer /Sr AI ML Specialist
Long Term Contract
Remote role with some travel
Tax Term: W2
TheSenior 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.
Minimum Requirements:
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.
Experience designing evaluation frameworks for ML/LLM systems 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.
Long Term Contract
Remote role with some travel
Tax Term: W2
TheSenior 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.
Minimum Requirements:
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.
Experience designing evaluation frameworks for ML/LLM systems 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.
Required Skills:
DATA PROCESSINGMLAI
