Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.
Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design and own architectural evolution of data pipelines and platform components using AWS and Snowflake.
Build and maintain robust ingestion pipelines with AWS DMS, AppFlow, and EventBridge.
Optimize analytics datasets in dbt Cloud with dimensional modeling and SCD Type 2 logic.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. It is a nearshore technology services company that empowers businesses to thrive in the digital landscape.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Translate business requirements into highly available data solutions using PySpark, SQL, and Python.
Collaborate with cross-functional teams including machine learning engineers and software developers.
Implement data pipelines and manage ETL processes with data warehousing fundamentals.
We are a multinational team that believes technology is the answer to today's business challenges. Since 2016, we have helped clients translate technology into success, combining the talent of Latin American professionals with Swiss organizational skills.
Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.
Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.
Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.
Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Design, build, and maintain robust data infrastructure to support business intelligence, analytics, and machine learning initiatives.
Optimize workflows and implement secure, scalable storage solutions using modern data engineering practices.
Collaborate with cross-functional teams to translate business needs into effective technical solutions.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With a team of over 600 skilled tech professionals based in Latin America, they deliver top-tier technology solutions to companies of all sizes, fostering a culture of innovation and growth.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.