Overview
On Site
Full Time
Skills
UI
Information Technology
Network
Microsoft
Tier 1
Recruiting
Training
Partnership
TM
Security Clearance
Rapid Application Development
Workflow
Software Architecture
Prototyping
Writing
Collaboration
Communication
Articulate
Modeling
Data Analysis
EDA
Data Modeling
Data Quality
Evaluation
Testing
Continuous Improvement
Artificial Intelligence
Amazon Web Services
Cloud Computing
Machine Learning Operations (ML Ops)
Management
Machine Learning (ML)
Job Details
CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Artificial Intelligence (AI) Engineer - Onsite in Annapolis Jct, MD - TS/SCI & Full Scope Polygraph
TM-AIEngineer-AnnapolisJctMD - Annapolis Junction, MD - Full Time
An active Top Secret/SCI Clearance with a Full Scope Polygraph is required.
This job is onsite in Annapolis Junction, MD with 1-2 remote days/week depending on tasking.
We have an immediate need for an Artificial Intelligence (AI) Engineer who will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
Required technical skills and responsibilities include:
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- Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
- Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
- Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
- Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
- Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
- Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
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