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 and implement scalable, high-performing data pipelines and optimize data architecture.
Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
Collaborate across teams to support data needs and ensure architecture supports ongoing and future initiatives.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. The company fosters a healthy collaborative work environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
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.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Own the AI research data platform: ingestion, preprocessing, governance, and export of high-volume media data.
Scale Databricks lakehouse and distributed processing, making build-vs-buy decisions as data grows.
Build reusable synthetic data infrastructure and own pipeline reliability, observability, and cost.
Reality Defender detects deepfakes and AI-generated media for enterprises and governments using a patented multi-model platform. A lean, well-funded startup backed by top-tier investors, it protects against malicious AI content.
Own Elicit's scholarly search and data platform, covering coverage, freshness, quality, and cost.
Build secure, rights-aware integrations for enterprise customers and content partners.
Ship features end-to-end across frontend, backend, and data with staged rollouts.
Elicit is an AI research agent that helps scientists and decision-makers find, synthesize, and understand research. We are a public benefit corporation with a small, AI-native engineering team focused on high-stakes evidence.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Find, evaluate, and collect valuable training data from web, code, and technical sources.
Build scalable pipelines that turn raw data into training-ready corpora through extraction, cleaning, deduplication, and filtering.
Work with researchers on data mixtures and sampling strategies for pretraining and midtraining.
Prime Intellect builds the open superintelligence stack, offering a full-stack platform for post-training frontier AI models. Backed by $150M in funding, it is a mission-driven team focused on accelerating science and AI.
Design and maintain data pipelines using SparkSQL and Pyspark within a central data lake.
Collaborate with cross-functional teams like Data Science, AI/ML, and other engineers to ensure high-quality data.
Champion Samsara’s cultural principles while building reliable, customer-facing data sets.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for safety, efficiency, and sustainability. As a publicly traded company, it fosters a culture of growth mindset and customer success, supporting a global team.
Design, build, and maintain scalable ETL pipelines using PySpark and Databricks.
Optimize data pipelines for performance, cost-efficiency, and data quality best practices.
Collaborate with engineering and business teams to deliver robust data solutions.
Truelogic is a nearshore staff augmentation provider delivering technology solutions to companies of all sizes. With a team of 600+ tech professionals across Latin America, they foster a dynamic culture focused on career growth.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Build, maintain, and support ETL/ELT pipelines and data transformations using Python, SQL, and Spark/PySpark.
Troubleshoot pipeline failures and data quality issues to ensure reliable delivery of healthcare data products.
Collaborate with engineering, product, and data consumers to clarify requirements and deliver high-quality data changes.
Definitive Healthcare turns healthcare data, analytics, and expertise into actionable intelligence that helps customers shape the future of healthcare. Founded in 2011, the company supports over 2,400 clients globally and fosters a collaborative, inclusive culture recognized with multiple workplace honors.
Own the ML infrastructure end-to-end, from pipelines to production.
Build data products from internal signals like conversion and expansion.
Cross team boundaries, shipping in engineering's repos and driving cross-team work.
Clerk solves the user identity layer for developers, providing full-stack React components and hooks for authentication and user management. A globally distributed, deliberately small and senior team focused on building best-in-class developer infrastructure for AI software.
Design, build, and maintain reliable data ingestion pipelines connecting enterprise systems like Banner/Ellucian ERP.
Develop scalable data transformations using medallion architecture, Databricks, Delta Lake, Python, and SQL.
Collaborate with analysts and stakeholders to design data models and trusted data products for institutional decision-making.
University of Idaho is Idaho's flagship land-grant research university and an R1 institution recognized for high research activity. With a mission centered on education, discovery, and service, it is transforming its data infrastructure to support analytics and AI across the institution.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.