hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:
About The Role:
Expression is seeking an experienced AI/ML Engineer to design optimize and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers you will develop AI pipelines that enable intelligent signal characterization data prioritization distributed inference and decision support while operating within constrained compute bandwidth and communications environments.
The ideal candidate has strong expertise in applied machine learning modern LLM technologies edge AI optimization and production deployment of AI systems.
Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)
About the Company:
Founded in 1997 and headquartered in Washington DC Expression provides data fusion data analytics software engineering information technology and electromagnetic spectrum management solutions to the U.S. Department of Defense Department of State and national security community. Expressions Perpetual Innovation culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018s Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
Responsibilities:
Design and implement AI capabilities supporting intelligent data characterization classification prioritization and decision support.
Evaluate optimize and deploy open-weight foundation models appropriate for resource-constrained edge environments.
Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
Implement Retrieval-Augmented Generation (RAG) semantic search and knowledge retrieval capabilities where appropriate.
Design AI orchestration workflows supporting distributed inference across multiple edge devices.
Develop evaluation methodologies for AI accuracy latency resource utilization and operational performance.
Implement model monitoring observability testing and automated evaluation frameworks.
Collaborate with software engineers to integrate AI models into production software platforms.
Optimize models using quantization pruning distillation deployment technologies.
Support experimentation involving multimodal data sources sensor-derived features and structured mission data.
Develop AI governance practices including model evaluation explainability responsible AI and secure deployment.
Document model development evaluation results and technical recommendations.
Support customer demonstrations and prototype evaluations.
Qualifications:
Bachelor degree in Computer Science Artificial Intelligence Data Science Electrical Engineering Applied Mathematics or related discipline. An advanced degree is preferred.
5-8 years of professional experience developing production AI or machine learning applications.
Strong Python programming experience.
Experience with PyTorch.
Experience deploying LLMs in production environments.
Experience with LangGraph LangChain CrewAI Semantic Kernel or similar orchestration frameworks.
Experience with vector databases and semantic search.
Experience deploying AI models on edge or resource-constrained devices.
Experience with model optimization techniques including quantization model compression or inference acceleration.
Experience designing evaluation frameworks for AI systems.
Experience with Docker and cloud-native AI deployment.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience applying AI to sensor analytics time-series data or signal processing.
Experience with software-defined radio data RF analytics or geospatial data analytics.
Experience developing multimodal AI applications.
Experience deploying AI across distributed edge computing environments..
Experience supporting DoD Intelligence Community or Federal customers.
Experience working in bandwidth-constrained or disconnected operational environments.
Experience supporting National Security or Federal Civilian customers.
$130000 - $170000 a year
Benefits:
Expression offers competitive salaries and benefits such as:
401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement up to $10000/yr
Complimentary life insurance
Generous PTO and 11 days of holiday leave
Onsite gym facility and trainer
Commuter Benefits Plan
In-office Cold Brew Coffee
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:About The Role:Expression is seeking an experienced AI/ML Engineer to design optimize and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely w...
hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:
About The Role:
Expression is seeking an experienced AI/ML Engineer to design optimize and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers you will develop AI pipelines that enable intelligent signal characterization data prioritization distributed inference and decision support while operating within constrained compute bandwidth and communications environments.
The ideal candidate has strong expertise in applied machine learning modern LLM technologies edge AI optimization and production deployment of AI systems.
Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)
About the Company:
Founded in 1997 and headquartered in Washington DC Expression provides data fusion data analytics software engineering information technology and electromagnetic spectrum management solutions to the U.S. Department of Defense Department of State and national security community. Expressions Perpetual Innovation culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018s Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
Responsibilities:
Design and implement AI capabilities supporting intelligent data characterization classification prioritization and decision support.
Evaluate optimize and deploy open-weight foundation models appropriate for resource-constrained edge environments.
Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
Implement Retrieval-Augmented Generation (RAG) semantic search and knowledge retrieval capabilities where appropriate.
Design AI orchestration workflows supporting distributed inference across multiple edge devices.
Develop evaluation methodologies for AI accuracy latency resource utilization and operational performance.
Implement model monitoring observability testing and automated evaluation frameworks.
Collaborate with software engineers to integrate AI models into production software platforms.
Optimize models using quantization pruning distillation deployment technologies.
Support experimentation involving multimodal data sources sensor-derived features and structured mission data.
Develop AI governance practices including model evaluation explainability responsible AI and secure deployment.
Document model development evaluation results and technical recommendations.
Support customer demonstrations and prototype evaluations.
Qualifications:
Bachelor degree in Computer Science Artificial Intelligence Data Science Electrical Engineering Applied Mathematics or related discipline. An advanced degree is preferred.
5-8 years of professional experience developing production AI or machine learning applications.
Strong Python programming experience.
Experience with PyTorch.
Experience deploying LLMs in production environments.
Experience with LangGraph LangChain CrewAI Semantic Kernel or similar orchestration frameworks.
Experience with vector databases and semantic search.
Experience deploying AI models on edge or resource-constrained devices.
Experience with model optimization techniques including quantization model compression or inference acceleration.
Experience designing evaluation frameworks for AI systems.
Experience with Docker and cloud-native AI deployment.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience applying AI to sensor analytics time-series data or signal processing.
Experience with software-defined radio data RF analytics or geospatial data analytics.
Experience developing multimodal AI applications.
Experience deploying AI across distributed edge computing environments..
Experience supporting DoD Intelligence Community or Federal customers.
Experience working in bandwidth-constrained or disconnected operational environments.
Experience supporting National Security or Federal Civilian customers.
$130000 - $170000 a year
Benefits:
Expression offers competitive salaries and benefits such as:
401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement up to $10000/yr
Complimentary life insurance
Generous PTO and 11 days of holiday leave
Onsite gym facility and trainer
Commuter Benefits Plan
In-office Cold Brew Coffee
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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