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US

  • Develop new AI methods and using existing ones to solve complex defense problems
  • Develop working AI systems and deploying them
  • Rapid prototyping of AI models, systems, heuristics, and agentic solutions

AI ML NLP LLM Data Science

20 jobs similar to Deployed Data Scientist

Jobs ranked by similarity.

US

  • Design and execute advanced AI/ML models for integration into internal tooling and external client-facing products.
  • Lead experimentation efforts: define hypotheses, design interpretable tests, analyze results, and communicate findings effectively.
  • Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies.

US

  • Design, train, and evaluate machine learning models from first principles.
  • Develop and maintain production-quality Python code for data processing.
  • Build natural language processing systems for document understanding.

Alpha7X is a technology company. They seem to be a growing company with a focus on innovation within the AI and machine learning space.

$110,720–$138,400/yr
US

  • Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
  • Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
  • Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.

Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.

US

  • Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
  • Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
  • Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.

Wealth.com is the industry’s leading estate planning platform, empowering more than 1,000 wealth management firms to modernize how they talk about estate planning with their clients. They cultivate a collaborative and supportive environment, fostering innovation and making Wealth.com a truly enjoyable workplace.

$175,000–$195,000/yr
US

  • Design and deliver AI-powered advisors, assistants, and analytic agents.
  • Build and maintain high-quality, production-ready Python services.
  • Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.

Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.

Europe

  • Work side by side with clients, PMs, and Architects to scope and deploy AI systems.
  • Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases and related tools.
  • Debug relentlessly and optimize for reliability in production, not just elegance in code.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

$191,000–$253,000/yr
US

  • Own complex, full-stack AI solutions end-to-end, from applied research to production deployment.
  • Set technical direction for ambiguous and high-impact use cases, while scaling the AI systems.
  • Mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture.

Komodo Health is dedicated to reducing the global burden of disease by leveraging data. They have built the Healthcare Map, the industry’s largest view of the U.S. healthcare system. At Komodo, employees are ambitious, supportive, and passionate about delivering on its mission.

$170,000–$190,000/yr
US

  • Lead the end-to-end machine learning lifecycle.
  • Own and evolve ML Ops architecture, including CI/CD for models.
  • Serve as a player-coach, contributing directly to design reviews.

AvaSure is revolutionizing healthcare with cutting-edge virtual care solutions that protect patients and empower clinical teams. We're proud of our collaborative culture where innovation thrives and every team member is valued.

US Unlimited PTO 18w maternity 12w paternity

  • Design, build, and operate production-grade AI solutions that support GTM use cases.
  • Lead the technical architecture and implementation of GenAI and ML systems.
  • Integrate AI capabilities into existing GTM platforms and workflows.

Chainguard is the secure foundation for software development and deployment, providing guarded open source software. Founded by industry experts, they've built the largest library of open source software that is secure by default and value customer obsession, intentional action, and trust.

US

  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.

Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Canada

  • Define the long-term AI vision and technical direction for the product
  • Design and review architectures and system designs
  • Lead research and experimentation into new AI technologies

Solink provides businesses with tools to transform video security into real-time operational insights. They are a rapidly growing company with over 30,000 locations across 32+ countries and have been recognized by Deloitte’s Fast 50™ and Fast 500™ and as one of Ottawa’s Best Places to Work.

North America Canada

  • Design and implement AI solutions on the ServiceNow platform
  • Stay current with emerging AI capabilities and evaluate their applicability to our platform and use cases
  • Developing solutions specific to user requirements gathered in workshops

ServiceNow is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

US

  • Build and scale the AI Agent platform.
  • Design and implement APIs, services, and infrastructure.
  • Prototype rapidly and continuously improve system performance.

Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.

$175,000–$220,000/yr
US

  • Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
  • Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
  • Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.

Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.

$135,000–$216,000/yr
US

  • Design, develop, and optimize generative AI solutions, including prompt engineering and RAG implementations.
  • Implement agentic LLM architectures and multi-agent orchestration to generate reliable outputs.
  • Develop prompt libraries and evaluation frameworks to ensure accurate and secure AI-generated content.

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.

Global

  • Build and improve AI chatbots and virtual agents using real conversational data.
  • Clean, prepare, and analyze text data for NLP and ML models.
  • Evaluate model performance and propose improvements.

Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation. They support digital transformation for some of the world's largest enterprises and retain nearly 1000 full-time professionals with an annual growth rate exceeding 25%.

$135,000–$310,500/yr
US

  • Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI.
  • Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes.
  • Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings.

Hewlett Packard Enterprise (HPE) is the global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud. HPE's culture thrives on finding new and better ways to accelerate what’s next, valuing varied backgrounds, flexibility and bold moves together.

Global

  • Design and ship production-grade agentic AI systems that meaningfully improve customer workflows and internal operations.
  • Establish a clear technical architecture for AI at Moxie, including agent orchestration, tool/function calling and observability.
  • Integrate AI deeply into the Moxie platform, ensuring AI systems are secure, resilient, cost-aware, and aligned with a regulated environment.

Moxie empowers ambitious aesthetic entrepreneurs to build profitable, independent practices. They are a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide, aiming to unlock sustainable success for aesthetic entrepreneurs.

North America Europe Asia

  • Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
  • Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
  • Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.

Loopio provides a workplace that recognizes the advantages of working flexibly, operating as a remote-first company. They have established hub regions around the world and foster a supportive culture with opportunities for connection.

$193,500–$303,150/yr
US

  • Advance GenAI Modeling with Knowledge Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
  • Prototype & Experiment Rapidly Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
  • Provide Technical Leadership Provide technical mentorship to team members.

At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.