Develop 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. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries and corporate headquarters are in Dublin, Ireland.
Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.
Strong computer science or engineering background with 3+ years of coding experience with Python.
Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.
Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
Advise on GenAI and ML best practices and give product demos to stakeholders.
Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.
Helping improve the infrastructure and data platform using a lean approach.
Creating a data platform and infrastructure optimized for developments using Machine Learning and massive data processing.
Improving the development experience and spreading the DevOps culture in the company.
Clarity AI is a global tech company founded in 2017 with a mission to bring societal impact to markets. They leverage AI and machine learning to provide data, methodologies, and tools to investors, governments, companies, and consumers for informed decisions; they are a team of over 300 individuals with offices in New York, Madrid, London, Paris, and Abu Dhabi, backed by investors like BlackRock and SoftBank. .
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
Design and manage AWS infrastructure for AI services.
Implement Infrastructure as Code using Terraform.
Collaborate with cross-functional teams to enhance performance.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Focus on data ops, ML development pipeline, logging & aggregation.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Enabling customers' use of AWS to achieve their business objectives.
Automating cloud infrastructure with scripting and code.
Supporting developers in efficiently working within AWS.
Effectual is a professional services team that ensures customer-facing projects are delivered with exceptional customer satisfaction and technical excellence. Effectual DevOps Engineers are regarded as 'Brand Ambassadors' who stay current on leading practices to deliver high-quality solutions.
Automate and scale infrastructure provisioning using Infrastructure-as-Code to support self-service for engineering teams
Maintain and improve CI/CD pipelines, tooling, and deployment workflows across multiple services
Monitor and troubleshoot systems to ensure high availability, performance, and reliability
H1's mission is to provide a platform that can optimally inform every doctor interaction globally in order to promote health equity and build needed trust in healthcare systems. They harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into actions that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.
Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models. Develop frameworks and platform to build, deploy, serve and monitor ML-based services. Contribute to vision and architecture to scale ML solutions at QuintoAndar's business.
We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, guided by a shared purpose of helping people love the place they live.
Architect and lead the evolution of our modern data platform.
Design and build production LLM pipelines and infrastructure that power intelligent operations.
Own end-to-end data acquisition and integration architecture across diverse sources.
Brightwheel is the largest, fastest growing, and most loved platform in early ed. They are trusted by millions of educators and families every day. The team is passionate, talented, and customer-focused and embodies their Leadership Principles in their work and culture.
Prototype new training frameworks and production-ize solutions at scale.
Design, optimize and test model integration infrastructure.
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's and audio recognition. Clarifai was founded in 2013 and has employees remotely based throughout the United States, Canada, Argentina, India and Estonia.
Work with research teams to design and build our training infrastructure
Prototype new training frameworks and production-ize solutions at scale
Design, optimize and test model integration infrastructure
Clarifai is a leading AI platform specializing in computer vision, NLP, LLMs, and audio recognition, helping organizations transform unstructured data into structured data. Founded in 2013, they remotely operate across multiple countries with backing from industry leaders, fostering a diverse and equal opportunity workplace.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
Architect enterprise-grade AI systems using LLMs and multimodal models.
Design end-to-end pipelines for data ingestion, model training, and deployment.
Define engineering standards for MLOps and data quality.
Jobgether connects job seekers with companies using AI-powered matching. They focus on quick, objective, and fair reviews of applications, but do not mention employee count or company culture.
Build Enterprise-Scale Infrastructure leveraging infrastructure-as-code to manage complex cloud environments.
Sustain Platform Health and Performance owning critical systems in production, including reliability and security.
Enable Teams and Customers to Move Faster creating abstractions and tooling that deploy, run, and scale AI/ML workloads.
Cake is on a mission to make cutting-edge AI accessible to enterprise teams. Backed by top investors, Cake is seeing strong adoption and is positioned for rapid growth in the next 12 months, emphasizing ownership, clear communication, and collaboration.