Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Design, build, and operate AWS infrastructure supporting ML models, AI tools, and event-driven integrations.
Build reliable CDC pipelines and event-driven integrations with third-party systems like Salesforce and Braze.
Implement observability, secure operations, and model monitoring for production ML and LLM systems.
National Debt Relief helps consumers resolve debt and has settled over $10 billion for 450,000 clients. It is a certified Great Place to Work known for a team-oriented culture and employee growth.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.
Design, implement, and deploy ML/AI models end-to-end, including data pipelines, training workflows, and production optimization.
Collaborate with product, engineering, and data teams to align AI work with business goals and translate technical tradeoffs.
Contribute to AI architecture decisions and raise engineering practices, using AI-forward coding tools like Claude and Cursor.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. The company values craft, ownership, and direct feedback, with teams averaging fifteen-plus years of experience.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Lead and mentor diverse software engineering teams across the Americas and EMEA, fostering innovation, collaboration, and continuous improvement.
Drive software delivery transformation through agentic development, AI-assisted engineering tools, and modern delivery models.
Oversee architecture and hands-on technical leadership for platform and AI services across Python, TypeScript, AWS, and LLM frameworks.
This partner company builds financial technology products, platform services, and AI-driven solutions for global businesses. It operates as a remote-first organization with a high-trust culture and a focus on engineering innovation and collaboration across EMEA and APAC.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Lead and mentor a team of software engineers building scalable machine learning infrastructure.
Define and own the multi-quarter technical strategy for data generation, orchestration, and distributed training.
Represent the Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure.
Latitude AI is building the future of Ford's autonomy roadmap, developing a fully in-house hands-free ADAS platform. As a Ford Motor Company subsidiary, it operates independently like a technology startup with engineering centers in Pittsburgh, Dearborn, and Palo Alto.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Lead design and deployment of enterprise-scale AI and data solutions.
Architect LLM and agentic AI workflows using frameworks like LangChain and n8n.
Partner with teams to deliver secure, compliant, and innovative solutions.
U.S. Financial Technology operates the largest mortgage securitization platform in the world, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities and combines financial services expertise with leading technologists.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Design strategic, cross-functional AI solutions to enable business transformation.
Partner with business and technology leaders to define scope and requirements.
Drive implementation, adoption, and continuous improvement of AI solutions.
Veeam is the Data and AI Trust Company, helping organizations secure and manage their data and AI. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers and fosters a culture of growth and impact.
Build and maintain automated, tested ML/data pipelines to take data science models from notebooks to production.
Optimize CI/CD, workflow orchestration, and observability to keep match data reliable at scale.
Partner with data science to maintain feature pipelines, run EDA, and apply AI tools across workflows.
PAR Technology is a leader in restaurant technology, providing software and hardware that help brands create guest connections and drive growth. Serving over 100,000 restaurants in 110+ countries, it fosters a collaborative 'Better Together' culture within its growing SaaS organization.
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.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.