Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share this shortlist with the hiring company.
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.
Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
Build, maintain, and improve rock-solid data pipelines using a broad range of technologies like AWS Redshift, Trino, Spark, Airflow, and Kafka streaming for real-time processing
Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
OLX operates consumer brands that facilitate trade to build a more sustainable world. They have colleagues around the world who serve millions of people every month.
Build data architecture frameworks compliant with global standards.
Oversee continuous improvement of frameworks for data accuracy.
Identify significant data assets and translate business requirements.
Jobgether is an AI-powered platform connecting candidates with fitting roles, ensuring quick and fair application reviews. They leverage AI tools to assist in the hiring process but emphasize that final decisions are made by humans.
Work closely with data engineers to define data ingestion requirements
Define, refine and apply our standard data model
Develop end-user tables within Databricks utilizing SQL and DBT
Equilibrium Energy is building an AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. It is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate and has a tight-knit group of brilliant, curious, and adventurous people.
Build and maintain data pipelines to power dashboards and self-serve analytics.
Design and maintain core billing metrics.
Investigate anomalies and data-quality issues, perform root-cause analysis, and propose actions.
Ruby Labs is a leading tech company that creates and operates innovative consumer products. They offer a diverse range of opportunities across the health, education, and entertainment industries and their teams are driving the future of consumer-led products.
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.
Design and deliver MDM architectures using Veeva Network, covering data modeling, integration, governance, and data quality.
Own project delivery for enterprise clients, from initial scoping through deployment and post-go-live support.
Collaborate with business and technical stakeholders to capture requirements and translate them into scalable solutions.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, they surpassed $2B in revenue in their last fiscal year with extensive growth potential ahead.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Own Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health.
Drive innovation in data engineering technologies and practices, balancing current and future needs.
Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance.
Neko Health is a Swedish healthcare technology company focused on shifting healthcare from reactive treatment toward preventative health and early detection. They have over 500 employees with offices in Stockholm, London and Manchester and are focused on creating a flexible work environment.