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.
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 and maintain automated, tested ML/data pipelines to take data science models from notebooks to production.
Optimize CI/CD, workflow orchestration, and observability to keep match data reliable at scale.
Partner with data science to maintain feature pipelines, run EDA, and apply AI tools across workflows.
PAR Technology is a leader in restaurant technology, providing software and hardware that help brands create guest connections and drive growth. Serving over 100,000 restaurants in 110+ countries, it fosters a collaborative 'Better Together' culture within its growing SaaS organization.
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 development of production ML models for customer lifetime value, conversion, and recommendations.
Advance personalization and recommendation systems using Databricks and MLflow.
Establish best practices in ML including monitoring, experimentation, and mentoring.
NerdWallet's mission is to provide clarity for all of life's financial decisions. They are a growing, remote-first company with an inclusive and supportive team culture.
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, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.
Design, build, and maintain data pipelines and systems for web events into our datalake.
Tackle big data processing challenges using batch and streaming techniques.
Build frameworks for MLOps, data documentation, and AI-powered data analysis tools.
ZipRecruiter is a leading online employment marketplace that connects millions of businesses and job seekers through AI-driven smart matching technology. We have the #1 rated job search app on iOS & Android and a culture focused on innovation and collaboration.
Contribute to the design, implementation, automation, and support of enterprise-scale cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the design and development of ETL/ELT pipelines within Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Build, deploy, and monitor ML models and data infrastructure to ensure high availability, scalability, and performance.
Scout Motors is an automotive company reviving the iconic Scout vehicle as an electric pickup truck and rugged SUV brand. The company fosters an inclusive, entrepreneurial culture focused on innovation, respect, and building from the ground up.
Administer and support Databricks workspaces, cluster policies, compute, jobs, workflows, and Unity Catalog governance.
Monitor and troubleshoot Spark, Delta Lake, and data pipelines while maintaining AWS infrastructure such as EC2, VPC, IAM, and S3.
Build automation with Terraform, CI/CD, and scripting, and participate in on-call production support and incident response.
Oportun is a mission-driven financial services company that provides affordable credit, savings, and budgeting tools to help members build financial stability. As a publicly traded company, it emphasizes innovation, speed, and AI adoption while maintaining a high-performance, collaborative culture.
Lead customer technical projects to deliver production-grade data and AI solutions on the Databricks platform.
Design and architect end-to-end systems spanning data engineering, AI, and application development.
Work hands-on with customers, guiding architecture and empowering adoption through training and implementation.
Databricks is the data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, the company is headquartered in San Francisco with 30+ offices globally.
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'.
Design transactional and credit behavior features for the risk model, ensuring reliable signals for credit scoring.
Implement features with complete standard metadata and D1/D2 design to maximize reuse and governance.
Follow the deployment pipeline with job monitoring and FinOps practices to maintain consistency between training and production.
We build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
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.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
Manage data infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes, ensuring reliability and cost-efficiency.
Partner with analytics and data science teams to deliver governed, tested, and documented data ready for AI tools and reporting.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. With over 50 million registered users and a high-performance, AI-first culture, GitLab is fully remote and values-driven.
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.