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hatch IT

<div><p>hatch I.T. is partnering with Expression to find an<b> AI/ML Engineer</b>. See details below:</p>
<p><b>
About The Role:</b></p>
<p>
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.</p>
<p>
The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
<p><b>
Security Clearance</b>: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)</p>
<p><b>
About the Company:</b></p>
<p>
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. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; 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 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div><p><b>Benefits:</b></p>
<p>
Expression offers competitive salaries and benefits, such as:</p>
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div><p>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.</p></div>

AI/ML Engineer

<div><p>hatch I.T. is partnering with Babel Street to find an <b>NLP/Linguistics Software Engineer</b>. Please see details below:</p>
<div><b>
About the Role</b></div>
<p>
Babel Street is looking for a <b>Software Engineer </b>to join their Analytics Group. This is an execution-focused &quot;builder&quot; role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.</p>
<p><b>
About the Company</b></p>
<p>
Babel Street is the trusted technology partner for the world&rsquo;s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.</p>
<h3 class="jobSectionHeader"><b>
What you will do:
</b></h3><div><ul><li>Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.</li>
<li>Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.</li>
<li>Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.</li>
<li>Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.</li>
<li>Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.</li>
</ul></div><h3 class="jobSectionHeader"><b>What you will bring:
</b></h3><div><p><b>Required:</b></p>
<ul>
<li>2&ndash;4 years of professional software engineering experience (including high-impact internships or projects).</li>
<li>Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).</li>
<li>Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.</li>
<li>Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.</li>
</ul>
<p><b>Preferred (Nice to Have):</b></p>
<ul>
<li>Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.</li>
<li>Familiarity with Elasticsearch internals or other search/retrieval-based systems.</li>
<li>Exposure to computational linguistics or natural language processing (NLP).</li>
<li>Interest in Kubernetes and cloud-native architectures.</li>
</ul></div><h3 class="jobSectionHeader"><b>What success looks like:
</b></h3><div><ul><li>Month 1&ndash;2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.</li>
<li>Month 3&ndash;4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.</li>
<li>Month 5&ndash;6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.</li>
</ul></div><h3 class="jobSectionHeader"><b>Why this role matters:</b></h3><div>
The record matching functionality is where Babel Street&rsquo;s signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, &quot;the model said so&quot; is not good enough. You will help build systems where every match is defensible, auditable, and tunable &mdash; a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.</div>
<p>
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.</p></div>

NLP/Linguistics Software Engineer

Join hatch IT and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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AI/ML Engineer

NLP/Linguistics Software Engineer