Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, empowering customers to give their clients magical moments. They value diverse backgrounds, equal opportunity, and an inclusive culture, with a team that values curiosity and experimentation.
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 and maintain ETL pipelines that ingest, process, and load data into AWS Neptune.
Develop and evolve graph data models representing relationships across users, sessions, devices, and security events.
Integrate diverse data sources including S3, relational databases, streaming services, and APIs into a cohesive graph architecture
Keeper Security is transforming cybersecurity for organizations around the world with next-generation privileged access management. Keeper’s zero-trust and zero-knowledge cybersecurity solutions are FedRAMP and StateRAMP Authorized, FIPS 140-2 validated, as well as SOC 2 and ISO 27001 certified.
Design, build, and own Elixir backend systems used across onboarding, fraud detection, compliance, and operations.
Build and maintain data pipelines, integrations, and analytics infrastructure for rapidly growing team.
Develop internal tools used daily by operations and compliance teams.
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. They are growing quickly and have raised more than $50 million from leading investors.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Prototype new training frameworks and production-ize solutions at scale.
Design, optimize and test model integration infrastructure.
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's and audio recognition. Clarifai was founded in 2013 and has employees remotely based throughout the United States, Canada, Argentina, India and Estonia.
Set long-term technical direction for Kraken’s AI/ML strategy, influencing multiple teams and initiatives.
Own the architecture and evolution of core AI/ML systems, including training, feature management, serving, experimentation, and monitoring.
Lead cross-team efforts to standardize ML development and operational practices across the company.
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion. As a fully remote company, they have Krakenites in 70+ countries and is committed to industry-leading security, crypto education, and world-class client support.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
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.
Monitor applications, transactions, and customer activity to detect and prevent fraud and identity risks.
Apply machine learning models and statistical techniques to enhance fraud detection and prevention capabilities.
Partner with Operations, Credit, Technology and Compliance to align fraud strategies with enterprise objectives
Braviant Holdings is a tech-enabled credit products provider that combines technology and machine learning to transform how people access credit online. They are a privately held company based in Chicago, and have been named multiple times to the Inc. 5000 list and recognized as a Best Place to Work.
Manage the analytics data warehouse to make it scalable and reliable.
Build and scale data catalogs and a semantic layer for the data infrastructure.
Sibill is the accounting and financial operating system for small and medium businesses (SMBs). They integrate invoicing, payments, treasury, and accounting in one modern platform and are backed by top international investors..
Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis.
Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs.
Perform analyses on large data sets to understand drivers of operational efficiency.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. This company fosters a supportive and inclusive work environment.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
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.
Build automated detection systems that use disparate signals to identify abusive behavior.
Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes
Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Their team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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.
Building features related to our data pipelines, usage of LLMs, analytics APIs, etc.
Doing whatever is necessary to deliver value to our customers.
Creating notifications, alert emails, scheduled reports, connectors into third party systems, etc.
Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT, Claude, Gemini. They have scaled rapidly since commercial launch and have more than 500 paying brands using the platform.