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.
Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
IMO Health combines software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.
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.
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.
Design, build, and maintain the inference infrastructure that powers Sword Health's AI products.
Own the end-to-end deployment pipeline for AI models, from real-time computer vision to large language models.
Architect and scale Kubernetes clusters for GPU-accelerated workloads, including autoscaling strategies and resource scheduling.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They make world-class healthcare available anytime, anywhere, while significantly reducing costs. Sword Health has over 1,000 enterprise clients and has raised more than $500 million from leading investors.
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, implement, and operate cloud-native infrastructure for production workloads.
PointClickCare's mission is to help providers deliver exceptional care. They are a leading health tech company that’s founder-led and privately held that empowers their employees to push boundaries, innovate, and shape the future of healthcare. They have the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, their platform serves over 30,000 provider organizations.
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).
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.
True Accord, a wholly owned subsidiary of TrueML, combines machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. We are a dynamic group of people who are subject matter experts with a passion for change.
Define and execute the strategic vision for ML across Operations and adjacent business areas.
Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization.
Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation.
Monzo is on a mission to make money work for everyone, waving goodbye to traditional banking complexities. With a focus on solving problems and changing lives, they offer personal and business bank accounts, savings, investments, and pension options, and they are known for their award-winning customer service.
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.
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.
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.
Analyze ML models to identify and resolve performance bottlenecks.
Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
Deliver solutions to streamline model deployment across various hardware platforms.
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
Cayuse is an industry leading DataCenter. The company is an Equal Opportunity Employer where all employment decisions are based on merit, qualifications, skills, and abilities.
Design and build training pipelines, fine-tuning workflows, and RL infrastructure.
Implement data ingestion and curation systems, inference services, and scalability and backend architecture.
Own the platform that turns models into production systems.
Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.