ISYS Solutions, Inc. · 3 months ago
Senior Artificial Intelligence Specialist
US-DC-Washington
Full-time
Onsite
Senior Level
6+ years expISYS Solutions, Inc. is a reputable technology services company to the Federal Government, seeking a Senior Artificial Intelligence Specialist to support customer operations in Washington, DC. The role involves designing, developing, and deploying AI/ML solutions, collaborating with cross-functional teams, and ensuring compliance with federal regulations.
AssociationCommunitiesMedical
No H1B
U.S. Citizen Only
Responsibilities
Holding a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related technical fields, with equivalent work experience in data science, machine learning, and cloud technologies
Demonstrating advanced proficiency in Python and other programming languages (e.g., Java, Bash), with expert-level skills in data science development, scripting, and automation
Applying deep knowledge of AI/ML, Natural Language Processing (NLP), and Generative AI, including hands-on experience with frameworks such as PyTorch, Transformer, TensorFlow, SpaCy, and Scikit-learn
Designing, developing, and deploying AI/ML solutions in cloud environments, particularly AWS, using services such as SageMaker, Bedrock, and Databricks, and tools like Docker, Kubernetes, GitLab, and Terraform
Building and optimizing ETL/ELT pipelines, data models, and integrations from various sources into centralized data lakes using Databricks, Spark, and SQL for scalable analytics
Implementing data governance, security best practices, and compliance with federal cloud regulations, including FedRAMP and FISMA, across infrastructure and applications
Practicing DevSecOps and CI/CD methodologies to automate testing, deployment, and monitoring of cloud-native AI solutions and infrastructure
Conducting fine-tuning of LLMs (e.g., GPT, Llama, Claude, Mistral) and contributing to open-source AI projects or communities to advance generative AI capabilities
Collaborating with cross-functional teams and communicating complex technical concepts clearly to both technical and non-technical stakeholders
Maintaining industry certifications in AWS cloud architecture, machine learning, and development, while staying current on emerging trends and best practices in AI, cloud, and data engineering
Collaborating with cross-functional teams to identify opportunities and design innovative AI/ML and Generative AI solutions tailored to business challenges
Researching, developing, and deploying new machine learning and AI features/products using an iterative, hands-on approach from model selection to production integration
Maintaining and improving existing AI/ML implementations by monitoring model performance, retraining models, and enhancing training datasets and feature sets
Leveraging AWS AI services (e.g., SageMaker, Bedrock, Comprehend, Rekognition) to accelerate development, deployment, and operationalization of AI solutions
Designing and managing scalable, secure, and repeatable cloud-based data pipelines and infrastructure using AWS tools such as S3, Redshift, and DynamoDB
Operationalizing and automating the deployment and monitoring of Generative AI systems with observability, controllability, and performance tuning in place
Ensuring AI system security through best practices, regular audits, and integration with DevSecOps and CI/CD workflows for secure and efficient deployment
Defining and implementing best practices for data modeling, including Bronze/Silver/Gold lakehouse architecture within Databricks to support analytical and operational workloads
Translating business requirements into data-driven solutions and providing thorough documentation, including data models, dictionaries, and system artifacts
Leading training initiatives, workshops, and promoting a culture of innovation and adoption of next-generation analytics and AI technologies across the organization
Qualification
Required
Holding a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related technical fields, with equivalent work experience in data science, machine learning, and cloud technologies
Demonstrating advanced proficiency in Python and other programming languages (e.g., Java, Bash), with expert-level skills in data science development, scripting, and automation
Applying deep knowledge of AI/ML, Natural Language Processing (NLP), and Generative AI, including hands-on experience with frameworks such as PyTorch, Transformer, TensorFlow, SpaCy, and Scikit-learn
Designing, developing, and deploying AI/ML solutions in cloud environments, particularly AWS, using services such as SageMaker, Bedrock, and Databricks, and tools like Docker, Kubernetes, GitLab, and Terraform
Building and optimizing ETL/ELT pipelines, data models, and integrations from various sources into centralized data lakes using Databricks, Spark, and SQL for scalable analytics
Implementing data governance, security best practices, and compliance with federal cloud regulations, including FedRAMP and FISMA, across infrastructure and applications
Practicing DevSecOps and CI/CD methodologies to automate testing, deployment, and monitoring of cloud-native AI solutions and infrastructure
Conducting fine-tuning of LLMs (e.g., GPT, Llama, Claude, Mistral) and contributing to open-source AI projects or communities to advance generative AI capabilities
Collaborating with cross-functional teams and communicating complex technical concepts clearly to both technical and non-technical stakeholders
Maintaining industry certifications in AWS cloud architecture, machine learning, and development, while staying current on emerging trends and best practices in AI, cloud, and data engineering
US Citizenship
6-10 years of experience in collaborating with cross-functional teams to identify opportunities and design innovative AI/ML and Generative AI solutions tailored to business challenges
Researching, developing, and deploying new machine learning and AI features/products using an iterative, hands-on approach from model selection to production integration
Maintaining and improving existing AI/ML implementations by monitoring model performance, retraining models, and enhancing training datasets and feature sets
Leveraging AWS AI services (e.g., SageMaker, Bedrock, Comprehend, Rekognition) to accelerate development, deployment, and operationalization of AI solutions
Designing and managing scalable, secure, and repeatable cloud-based data pipelines and infrastructure using AWS tools such as S3, Redshift, and DynamoDB
Operationalizing and automating the deployment and monitoring of Generative AI systems with observability, controllability, and performance tuning in place
Ensuring AI system security through best practices, regular audits, and integration with DevSecOps and CI/CD workflows for secure and efficient deployment
Defining and implementing best practices for data modeling, including Bronze/Silver/Gold lakehouse architecture within Databricks to support analytical and operational workloads
Translating business requirements into data-driven solutions and providing thorough documentation, including data models, dictionaries, and system artifacts
Leading training initiatives, workshops, and promoting a culture of innovation and adoption of next-generation analytics and AI technologies across the organization
Preferred
Certifications in AWS AI or Machine Learning, as appropriate
Benefits
Competitive compensation program
Comprehensive benefits package
Company
ISYS Solutions, Inc.
ISYS provides “Best in Class” medical case management to the worker’s compensation industry's claims professionals.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Alysha Loumakis-Calderon, B
President & CEO
Chris Loumakis
Founder & Chairman
Recent News
Washington Technology
2025-03-18
2022-07-04
Company data provided by crunchbase