Design, develop, and deploy AI models to solve complex business challenges.
Collaborate with cross-functional teams to integrate AI solutions into production systems.
Continuously improve and optimize AI pipelines for performance, scalability, and reliability.
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.
Optimize and validate targeting mechanisms for specific health conditions using classic ML.
Improve proprietary contextualization and recommendation engines handling trillions of transactions monthly.
Collaborate with internal health experts to prototype ideas for commercialization.
PulsePoint sits at the intersection of healthcare and adtech, helping brands and agencies interpret health signals by unifying digital determinants of health with real-world data. With over 300 employees and growing, they are a post-acquisition business and a leading player in the US healthcare ad market.
Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership and engineering excellence.
Define the technical vision and architectural direction of the AI product, ensuring high standards for performance and scalability.
Contribute hands-on to the design and optimization of production AI systems, including model serving and inference pipelines.
The partner company is developing a cutting-edge AI platform that powers innovative products at scale. They foster a collaborative, remote-first environment and focus on engineering excellence.
Build AI-driven healthcare solutions that remove barriers to care.
Work remotely across multiple regions with a diverse, global team.
Contribute to a platform that has completed over 10 million AI sessions and saved $1 billion in healthcare costs.
Sword is an AI healthcare company building AI to heal billions and unlock humanity's full potential. With over 700,000 members across three continents, 10 million AI sessions, and backed by $500 million from leading investors, Sword is defining a new standard for healthcare.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Design, develop, and deploy AI/ML and GenAI solutions from concept through production.
Build and optimize models for NLP, forecasting, classification, and anomaly detection.
Collaborate with stakeholders to translate business needs into scalable AI systems.
Our partner company builds and deploys high-impact AI and machine learning solutions across various industries. They offer a remote-first culture and emphasize collaboration and technical excellence.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Own ML projects end-to-end from exploration to production deployment.
Build agentic LLM systems with multi-step workflows and tool use.
Treat evaluation as core engineering work with robust testing pipelines.
We are building AI to heal billions and unlock humanity's full potential, pioneering a new approach to healthcare. With over 1 million members, 15 million AI sessions, and $500 million raised, we are defining a new standard for healthcare.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Design, develop, and optimize NLP models for text processing and information extraction.
Build robust data pipelines with DBT, Snowflake, and Airflow to support ML workflows.
Deploy and monitor scalable AI solutions that enhance decision-making and user experience.
Miratech is a global IT services and consulting company that partners with enterprises and startups to drive digital transformation. With nearly 1,000 full-time professionals and a 99% project success rate, the company maintains a values-driven culture of relentless performance and over 25% annual growth.
Design, build, and operate production-grade machine learning systems for retail media use cases.
Collaborate with product managers, engineers, and commercial stakeholders to translate business requirements into scalable ML solutions.
Develop robust ML pipelines and bring models into production using a cloud-based stack, ensuring reliability and observability.
Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company is powered by passionate teams and fosters a healthy, collaborative work environment.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
Support the development, evaluation, deployment, and continuous improvement of machine learning models.
The company specializes in online trust and security using AI and machine learning, focusing on fraud prevention and digital identity. The team is globally distributed and fosters collaboration, psychological safety, and technical excellence.
Own end-to-end execution of major technical projects for strategic customers, from design to delivery.
Work directly with customer engineering teams and executives to design tailored AI solutions.
Build production-ready software and integrations using strong Python and system design skills.
This company specializes in AI-powered solutions and software engineering for strategic customers. It operates with a fast-paced, autonomous culture focused on experimentation and technical excellence.
Designing, building, and deploying AI and Generative AI solutions like LLM-powered applications and chatbots.
Developing and optimizing prompt engineering strategies and RAG pipelines using vector databases.
Integrating AI models into cloud-based applications and implementing agent-based workflows.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our culture embraces openness, respect, grit, and guts, combining employment with enjoyment in cross-functional engineering teams.
Design, develop, and improve machine learning solutions leveraging geospatial data for environmental intelligence products.
Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
Lead technical projects from planning through implementation, collaborating with multidisciplinary teams.
They develop advanced AI solutions that transform satellite and environmental data into actionable insights for critical infrastructure. They are a fast-growing company with an inclusive, mission-driven culture focused on climate technology.
Develop new vegetation intelligence products using geospatial Python and ML/DL techniques.
Maintain and improve existing products through data exploration and model optimization.
Lead projects end-to-end, from planning through delivery, and communicate value to stakeholders.
The company uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks. The team spans the Americas and Europe, fostering a mission-driven culture.