Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
Design and maintain robust ML deployment pipelines to ensure seamless model delivery.
Automate model training, deployment, and monitoring workflows to increase operational efficiency.
Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.
Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. With over 600+ highly skilled tech professionals based in Latin America, they drive digital disruption by partnering with U.S. companies on their most impactful projects.
Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services.
Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases.
Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are a FTSE 100 Index company with a team of 23,300 people across 32 countries, investing in people and new advanced technologies to unlock the power of data and to innovate.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
Automate infrastructure provisioning and service configuration with Terraform.
Newsela takes authentic, real-world content from trusted sources and makes it instruction-ready for K-12 classrooms. Each text is published at five reading levels, so content is accessible to every learner; over 3.3 million teachers and 40 million students have registered.
Lead the design and implementation of production-grade ML and Generative AI solutions on AWS.
Act as a hands-on expert for customers running AI/ML workloads at scale.
Translate complex business problems into secure, reliable, cost-efficient, and observable cloud architectures.
DoiT is a global technology company that helps cloud-driven organizations leverage public cloud for growth and innovation. They combine data, technology, and expertise to ensure well-architected and scalable operations, serving over 4,000 customers worldwide.
Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
Own data pipelines including generation, cleaning, validation, and versioning
Build and improve experiment tracking, orchestration, and reproducibility tooling
Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).
Build and maintain infrastructure-as-code for our AWS EKS and GCP GKE clusters, plus on-premises deployments.
Own CI/CD pipelines and drive GitOps adoption.
Deploy, scale, and optimize ML/NLP inference workloads.
Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non-invasive technology and clinical expertise. They have nearly 100 full-time engineers working across multiple European locations and prioritize work-life balance.
Lead the push toward a modern, cloud-native organization by designing and managing scalable, resilient systems on AWS.
Own the Infrastructure as Code (IaC) strategy using Terraform, ensuring environments are repeatable, versioned, and stable.
Build and optimize high-velocity deployment pipelines using GitHub Actions, ArgoCD, and Helm to get code from "commit" to "production" seamlessly.
TrueML is undergoing a major platform rearchitecture, moving toward a fully cloud-native, modernized infrastructure. They seem to be a medium-sized company with a focus on innovation and providing engineers with the tools and data they need to make smart, impactful choices.
Learn platform infrastructure, developer tooling, and deployment patterns.
Own and drive at least one architecture decision that improves platform reliability.
Ship infrastructure improvements that measurably improve developer experience or platform stability.
Homebot is a homeownership platform for lenders and real estate, title & insurance agents that drives client retention and partner referrals. They maintain a clear focus on culture, engagement, and creating an environment where people are valued and can thrive.
Design and implement scalable ML infrastructure to support model development and deployment
Develop and maintain evaluation frameworks for Large Language Models (LLMs), including RAG-based systems
Evaluate model performance using tools such as RAGAS, DeepEval, or similar frameworks
EX Squared LATAM collaborates with global clients to build innovative digital solutions that drive real business impact. They foster a collaborative, inclusive, and innovation-driven culture where continuous learning and professional growth are at the core of everything they do.
Design, build, and optimize cloud platform capabilities.
Tackle complex infrastructure challenges and raise engineering quality.
Apply AI and AIOps to make the platform smarter and more resilient.
PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration. We focus on optimizing provider schedules and dynamically routing messages to advance patient care and clinical workflows, valuing growth, transparency, and innovation.
Lead complex initiatives by forming and leading cross-functional teams to deliver high-impact projects.
Provide architectural review and technical guidance at a departmental level, ensuring Data Science assets are scalable and cost-effective.
Anticipate business pivots and proactively identify opportunities where data science can solve future challenges.
TrueML is a company focused on product and technology. They value Extreme Ownership, bridging technical expertise and business impact, and fostering a 'team vs. me' outlook.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards.
You'll join client calls, build relationships, and understand what actually matters on the ground.
You're experienced in and excited by taking a machine learning project from business idea to deployed production system.
Sona is the next generation of AI-native, frontline workforce management. They've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organizations everything they need to staff more intelligently and empower their teams. The team has grown to 140+ and secured over $100M in funding, creating a significant impact on the company's growth trajectory and culture.
Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
Design, develop, and optimize ML models and AI systems for document processing and automation.
Build and maintain production ML pipelines that are robust, observable, and scalable.
Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.
Design and build the AI platform layer, including data pipelines and serving infrastructure.
Productionize AI/ML capabilities, ensuring reliability, performance, and scalability.
Architect data pipelines to ingest, transform, and serve data to power AI features.
Lone Wolf Technologies is building AI capabilities into the core of its platform, transforming how real estate professionals manage transactions, serve clients, and grow their businesses. The company's culture fosters innovation and collaboration, empowering employees to contribute to impactful projects.
Support and operate Legion’s AWS-based cloud platform and Kubernetes (EKS) environments.
Build and maintain infrastructure-as-code using Terraform.
Improve CI/CD pipelines to increase deployment safety and velocity.
Legion Technologies delivers the industry’s most innovative workforce management platform. The AI-driven Legion WFM platform maximizes labor efficiency and employee engagement. They are a remote, mission-driven team that embraces a collaborative, fast-paced, and entrepreneurial culture.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Design, build, and operate core cloud infrastructure across compute, storage, databases, and networking layers.
Own and improve the reliability, scalability, and security of Valon’s production systems as we scale to support major enterprise deployments.
Evaluate, adopt, and operationalize new infrastructure technologies (e.g., Vitess, Clickhouse, Redis) to meet evolving product and scale requirements.
Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. They are a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.