Design, deploy, and support scalable AI/ML capabilities using Azure Machine Learning, Databricks, and AI services.
Develop reusable AI/ML solution templates, pipelines, and MLOps practices for model training, deployment, and monitoring.
Collaborate with VA stakeholders to integrate AI/ML models with enterprise data platforms and implement responsible AI controls.
Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. The company has a collaborative, client-first culture focused on rapid implementation of pragmatic solutions.
Lead CBM+ AI/ML initiatives from concept through production deployment, aligning technical solutions with mission and business objectives.
Architect scalable data pipelines, including ingestion, ETL/ELT, feature engineering, and validation for production workflows.
Provide technical leadership, mentoring junior engineers and guiding best practices for model development, MLOps, and secure deployment.
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They foster a collaborative culture of trusted partners and skilled professionals who thrive on building technology-agnostic solutions.
Build and deploy secure, production-grade AI solutions for GTM teams using RAG, structured-data querying, and agentic workflows.
Partner with GTM leaders to shape AI strategy, run discovery, and advise on feasibility, cost, risk, and Build/Partner/Buy decisions.
Set engineering standards, improve reusable building blocks, and mentor engineers while driving adoption across field teams.
Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The company's Zero Trust Exchange platform protects thousands of customers globally, and it is building an AI-native culture centered on ownership, collaboration, and ongoing feedback.
Apply clustering, classification, and anomaly detection techniques to cybersecurity data problems in the ICS/OT domain.
Integrate ML model outputs into data pipelines and product workflows, supporting batch and near-real-time processing.
Write clean, maintainable Python or Rust code and troubleshoot ML component behavior in production.
Dragos is the global leader in operational technology (OT) cybersecurity, combining technology, threat intelligence, and expert services to protect critical infrastructure. The company is a remote-first mission-driven team across North America, Europe, the Middle East, and APAC, built on authenticity, transparency, and trust.
Architect, develop, and deploy complex agentic systems including orchestration and tool use.
Build production-grade AI and machine learning systems using Python.
Translate cutting-edge AI research into scalable, production-ready solutions.
They are a partner company specializing in AI and data solutions for diverse clients. Their high-performing team values intellectual curiosity, ownership, and impact.
Shape strategic direction for AI/ML initiatives across USAF and Army programs.
Bridge the gap between mission goals and engineering reality, reducing ambiguity.
Lead and mentor technical teams while ensuring operational impact on fleet maintenance.
Redhorse Corporation delivers data insights and technology solutions for missions critical to U.S. national interests. The company values thoughtful, skilled professionals who thrive as trusted partners in a collaborative, mission-driven environment.
Be the AI/ML subject matter expert, shaping strategy and best practices.
Implement AI/ML solutions, write clean code and unit tests, and create documentation.
Collaborate in an Agile team with 2-week sprints, participating in code reviews and client meetings.
Smile Digital Health provides a FHIR-based data liberation platform that helps healthcare stakeholders collect and exchange data, used in over 20 countries. They foster a culture of respect, inclusion, and belonging, valuing diversity and empowering employees to bring their authentic selves to work.
Own AI solutions from discovery to production, ensuring quality and scalability.
Design and evolve Generative AI, RAG, and agentic applications with strong engineering foundations.
Collaborate with architects and product teams to establish best practices for AI evaluation and observability.
CI&T helps large enterprises turn AI potential into real business impact through AI deployment and tech-integrated solutions. With 8,000 employees across 25 countries, they foster a collaborative culture focused on innovation and continuous learning.
Lead the design, development, and deployment of enterprise AI solutions, architecture, and governance.
Collaborate with IT, data, cybersecurity, and business teams to build AI applications and copilots.
Integrate manufacturing data for predictive maintenance, quality improvement, and process optimization.
Jobgether uses AI to match candidates with job opportunities. This position is listed on behalf of a partner company, who manages all applications and next steps. The role offers remote flexibility and full-time work within the United States.
Act as a trusted technical advisor and hands-on engineering expert, helping enterprise customers design, implement, and scale advanced agentic AI solutions.
Lead the entire customer delivery lifecycle from identifying high-value business opportunities to deploying production-ready systems using Go or Python.
Establish best practices for agent development, evaluation, monitoring, and governance while mentoring other technical professionals.
Jobgether is a job platform that uses AI-powered matching to connect candidates with hiring companies. They are a small to medium-sized company with a focus on efficient and objective recruitment, emphasizing data privacy and collaborative hiring.
Design, develop, and deploy AI/ML models for predictive analytics and business process automation.
Build and optimize machine learning algorithms and data pipelines for enterprise integration.
Collaborate with data engineers and business stakeholders to ensure model performance and alignment.
Fusion Consulting is a global Business and IT consultancy specialized in Life Sciences, partnering with leading pharma and healthcare companies. With 450+ employees and 25 offices, we focus on S4HANA, Data & Cloud, with a client-first and entrepreneurial culture.
Build and harden production AI solutions, including RAG and knowledge graph-based member experiences.
Serve as technical counterpart to AI vendors, reviewing designs/code and leading knowledge transfer to insource work.
Implement MLOps/LLMOps, data pipelines, and engineering standards for reliable, secure AI systems.
ISACA champions the global workforce advancing trust in technology through knowledge, credentials, training, and networking. With over 195,000 members and 230 chapters worldwide, ISACA supports careers in security, governance, assurance, risk, privacy, and emerging tech.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Design, build, and maintain agentic features across products from early prototype to scaled production.
Develop thorough evaluation frameworks covering accuracy, grounding, latency, and reliability using offline evaluations and real-world signals.
Embed privacy-by-design principles across the AI stack ensuring compliance and secure handling practices.
Osano is a leading data privacy platform that helps organizations comply with laws like GDPR, CCPA, and other global privacy regulations. The company is a B-corporation with a mission to make privacy a fundamental right, backed by top-tier investors and recognized as a Great Place to Work for four years running with 97% of employees saying it's a great place to work.
Lead technical design and delivery of high-impact AI initiatives, including agentic workflows and retrieval systems.
Own projects from concept through production while mentoring engineers and raising engineering standards.
Build production-grade AI systems using LLMs, RAG, and AWS services.
Givzey | Version2.ai is a fully remote, AI-native company that created the Autonomous Fundraising category, deploying Virtual Engagement Officers to help nonprofits scale donor outreach. The company has generated over $20M in fundraising revenue and fosters a culture of technical excellence, mentorship, and ownership.
Take customer problems from idea to working prototype quickly, prove or kill an approach with data, and move what works into production.
Train, fine-tune, and evaluate models for matching, classification, and extraction problems using classical ML, embeddings, and LLMs.
Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS, owning the full ML lifecycle.
Wiser Solutions is a competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online. It serves brands and retailers globally, providing real-time visibility into pricing, product availability, and promotions.
Design, build, deploy, and support AI agents, copilots, and automations using Microsoft Copilot Studio, Azure, Python/C#, and APIs.
Partner with business stakeholders to translate ambiguous needs into secure, scalable, and maintainable technical solutions.
Apply SDLC, governance, security, and testing practices to deliver production-quality AI solutions.
IMA Financial Group is an independent insurance brokerage offering business insurance, employee benefits, and wealth management solutions. The company is a growing, nationally recognized firm with an entrepreneurial, employee-owned culture.
Lead the design and development of production-level machine learning solutions for government applications.
Provide hands-on technical leadership and mentorship across engineering teams.
Collaborate directly with customers to translate complex requirements into practical, deployable outcomes.
They build advanced AI systems for complex government applications, focusing on real-world, production-ready solutions. Their engineering team is mission-driven and collaborative, fostering strong technical practices across distributed teams.
Design and own core components of the AWS environment supporting data science products, setting standards for infrastructure changes and AI agent interactions.
Build self-service CI/CD pipelines and automated triggers so scientists can ship models to production without hand-holding.
Maintain security, compliance, and reliability of cloud environments while shaping the platform roadmap to unblock scientists.
Penguin Random House is the leading trade book publisher in North America, the UK, and many other regions, publishing across all genres and age groups. It operates nearly 300 publishing brands and imprints, fostering a diverse and innovative global community.
Serve as senior security engineering partner for AI product initiatives, working side by side with AI engineers from architecture through production.
Design, build, and secure AI-enabled applications, including agents, MCP servers, RAG pipelines, and cloud foundations with identity, data protection, and observability.
Partner with Privacy, Compliance, and Legal to meet healthcare security requirements, and coach developers on secure paved-road patterns.
Abacus Insights is transforming how data and AI work for health plans, helping them break down data silos to create a trusted data foundation. Backed by $100M from top investors, the company is collaborative, bold, and curious, embracing the thoughtful use of AI and automation.