Develop and optimize AI-driven solutions for our end-to-end platform.
Integrate AI capabilities into production systems to enhance functionality and performance.
Fine-tune and optimize existing solutions for specific product requirements, ensuring efficiency and reliability.
Smarter Technologies is an automation and insight platform for healthcare efficiency, providing an AI-powered revenue cycle management (RCM) platform. They combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services to empower healthcare organizations.
Design, develop, and deploy machine learning models and pipelines using Python
Build and maintain end-to-end ML systems from data ingestion to model serving
Write clean, efficient, and maintainable Python code following best practices
Activate Group was named by the Sunday Times as one of the UK’s 100 fastest-growing private companies. They employ more than 700 team members nationwide and work with some of the UK's largest fleets and insurance companies, supporting drivers involved in road incidents.
Design machine learning solutions using cloud-native technologies.
Collaborate with stakeholders to gather requirements for ML solutions.
Architect ML solutions on cloud platforms with a focus on MLOps.
Jobgether connects job seekers with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly against core requirements, identifying top candidates for hiring companies.
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering and analytic pipelines.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Build new features for the REST API on top of a modern tech stack using Node.js in Typescript, deployed to AWS.
Work alongside senior developers, product management, designers, and QA to implement new features and enhancements.
Develop features using AWS tools such as Lambda, S3, DynamoDB, and Redshift.
Varicent is transforming the Sales Performance Management (SPM) market, redefining how organizations achieve revenue success. They offer cutting-edge SaaS solutions to empower revenue leaders, trusted by industry leaders like T-Mobile and ServiceNow.
Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights.
Design and build high-performance, secure, and well-documented code that integrate with an ecosystem of existing services and apps.
Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
Marsie connects top-tier engineers from Latin America with leading global teams, embedding experienced engineers into clients’ teams. Their engineers work on complex systems across modern stacks and cloud environments, while enjoying a remote culture built on trust and long-term relationships.
Designing, deploying, and optimizing data-driven machine learning solutions on AWS.
Creating secure and scalable ML systems, enabling effective data management and model deployment.
Leading the enhancement of best practices within the data and ML lifecycle, making a substantial impact across projects and teams.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring systems evolve.
Machinify is a healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform used by over 85 health plans, representing more than 270 million lives, and foster a flexible and trusting environment.
Design, build, and evolve our AWS cloud infrastructure, with a focus on reliability, scalability, and security.
Own and improve CI/CD pipelines to support fast, safe, and repeatable deployments.
Build and maintain ETL pipelines that ingest data from third-party vendors and internal systems into our data warehouse.
AnswersNow is a venture-backed digital health company delivering virtual autism care to families, with a mission to empower and enhance the lives of those affected by autism by making personalized therapy more accessible. They are a fully-remote team that operates with trust, autonomy, and respect, embracing team members from all backgrounds, experiences, and identities.
Design, implement, and maintain high-performance ML training and inference platforms.
Ship tools that allow any ML engineer to deploy a model in minutes, not days.
Improve scalability, reliability, and cost efficiency of model training and serving systems.
Speechify's mission is to make sure that reading is never a barrier to learning. With nearly 200 people around the globe working in a 100% distributed setting, Speechify's team includes frontend and backend engineers, AI research scientists, and others.
Shape Rithum’s AI and data strategy with strategic leadership.
Design scalable machine learning models for eCommerce and product data optimization.
Collaborate cross-functionally to solve complex business challenges using AI and advanced analytics.
Rithum is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. More than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies to improve scalability and reliability.
Lead complex, high-risk, or cross-departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
Bondora's mission is to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has served over 1 million customers for 16 years and is rapidly growing as a fintech company, set to acquire a banking license and expand investment and loan products across Europe.
Design and develop scalable, maintainable, and reusable software components.
Collaborate with product managers to translate requirements into well-architected solutions.
Build intuitive and extensible user experiences using modern UI frameworks.
ServiceNow is a global market leader that brings innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Lead the development of ETL pipelines and Data Lake infrastructure.
Perform ETL and Sanitation on disparate data flows from multiple internal and external sources.
Maintain data security, quality, and performance with details documentation.
Swing Left helps people maximize their impact on competitive elections to help Democrats win. They have one million members, who have raised more than $140 million and engaged more than 50 million voters.
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.
Research and develop Machine Learning models and optimize them for scaled production usage.
Work with colleagues to explore ongoing product issues and recommend innovative ML/AI based solutions.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices.
Turnitin is a recognized innovator in the global education space, partnering with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries, offering a remote-first culture which empowers team members to work with purpose and accountability.