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.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Design, develop, and deploy AI/ML models and applications including NLP, predictive models, and automation workflows.
Build LLM-powered features using APIs like OpenAI, Azure OpenAI, or Anthropic, with RAG and agent workflows.
Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms and ensure responsible AI practices.
ExtensisHR provides human resources outsourcing and PEO services, supporting businesses with payroll, benefits, and compliance. The company is embracing AI transformation to improve operational efficiency and client experience.
Partner with business units to identify high-value AI use cases and deploy solutions.
Design, develop, and deploy full-stack AI systems that deliver measurable impact.
Drive adoption by working directly with stakeholders and codifying patterns into reusable tools.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they foster a culture of autonomy, open communication, and work-life balance.
Lead and execute core 0-to-1 initiatives in cutting-edge AI domains, from prototype to production.
Architect scalable solutions and drive critical milestones for rapid growth and potential spin-off.
High-agency builder mindset with proven domain expertise and excellent English communication.
EWOR launches cutting-edge initiatives in AI and technology, backed by serial entrepreneurs with major exits. They focus on high-growth environments with maximum ownership and an elite team, avoiding corporate red tape.
Drive adoption of Tenstorrent's AI products by collaborating with enterprise customers and the sales team.
Provide technical expertise in AI/ML to translate complex concepts for non-technical stakeholders.
Partner with sales operations and product teams to shape future product enhancements from customer feedback.
Tenstorrent is an AI technology company developing high-performance RISC-V CPUs and AI platforms. The diverse team of technologists values collaboration, curiosity, and solving hard problems.
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.
Develop and enhance AI-powered features across existing products using LLMs and modern AI frameworks.
Integrate conversational AI, voice AI, and RAG pipelines into production applications.
Collaborate with product teams and AI scientists to improve AI quality and ensure scalability and performance.
Pleased provides customer service software (SaaS) to clients worldwide. The company has a remote development team in Europe with around 30 employees and is expanding, with a fast-moving startup culture that values ownership and collaboration.
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 and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.
Develop and scale an internal agentic AI platform using Python, LangGraph, and MCP.
Collaborate with a Principal Engineer to deliver production-ready AI agents and integrations.
Own the full development lifecycle from design to deployment and continuous improvement.
The company is building an internal AI platform that connects company knowledge, data, and tools in a secure environment. It is a globally distributed, technology-driven team with a collaborative and innovative culture.
Build and ship production AI systems for the core finance workflows.
Own evals: metrics, test datasets, and monitoring of quality, cost, and latency.
Iterate end-to-end on AI products, from data pipelines to deployment.
Sibill is an AI-powered platform that unifies invoicing, payments, treasury, and accounting for SMEs and accountants in Italy. Backed by €12M from Creandum, the company serves over 5,000 businesses and 300+ firms with a team of over 130 people.
Research, implement, and optimize AI, automation, and data-driven technologies across business functions.
Integrate and optimize platforms for finance, accounting, labor management, forecasting, and business intelligence.
Provide technical support, training, and documentation to help teams adopt AI solutions effectively.
The company is a partner organization leveraging AI and automation to improve business operations. It fosters a collaborative, cross-functional culture that values innovation and practical problem-solving, with a remote-first setup.
Build, train, and evaluate deep learning models on financial data to improve credit modeling and loss prediction.
Own projects end to end, from hypothesis to deployed models in Tilt's ML pipelines.
Experiment with representation learning and agentic AI tools to accelerate data science workflows.
Tilt builds mobile-first financial products and machine learning-powered credit models that look beyond credit scores to recognize real potential. They are a small, virtual-first team spread across 14 countries, focused on collaboration, fairness, and expanding access to credit.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.