Design and deliver production-grade AI/ML and GenAI solutions on cloud platforms like AWS, ensuring scalability and business value.
Act as a senior technical advisor for enterprise customers, translating challenges into secure, cost-efficient cloud architectures.
Develop reusable frameworks and best practices from delivery work to scale successful solutions across customers.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company operates with a global, remote-first team focused on efficient recruitment.
Own reliability, latency, and performance for AI platform services and data infrastructure on AWS.
Design and maintain CI/CD pipelines, infrastructure-as-code, and observability frameworks across the stack.
Partner with AI and data engineers to ensure secure, cost-optimized, and scalable deployment of platform components.
HHAeXchange is the leading technology platform for home and community-based care, providing an end-to-end homecare solution for people who are aging or have disabilities. Founded in 2008, the company is passionate about transforming healthcare by connecting patients, providers, managed care organizations, and states.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Own the ML serving API and deploy models to production with CI/CD and infrastructure as code.
Build monitoring, alerting, and reliability for NBA models and LLM agents.
Drive architectural decisions and mentor engineers on MLOps patterns.
Clutch is a vertical SaaS company backed by Andreessen Horowitz, revolutionizing how credit unions engage with members via fintech lending software. The company is small and ambitious, with a lean data team of five that values pragmatism and fast shipping.
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 and develop a high-performing team of MLOps engineers, fostering technical excellence and collaboration.
Define and execute the MLOps roadmap, aligning infrastructure initiatives with research, engineering, and product goals.
Design and maintain scalable ML infrastructure including automated training pipelines, CI/CD, and model serving platforms.
Our partner is a company focused on cutting-edge machine learning infrastructure for large-scale AI systems. They foster an inclusive, mission-driven culture with international collaboration and value innovation, diversity, and continuous learning.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Lead the design and implementation of production-grade cloud and AI/ML solutions on AWS, ensuring scalability, security, and cost efficiency.
Act as a trusted technical advisor for customers, optimizing reliability, performance, security, and FinOps outcomes.
Deliver structured engagements such as architecture reviews, cloud optimization assessments, and GenAI workshops.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share shortlists with employers, operating with a global, distributed team.
Build and optimize secure, scalable AWS infrastructure to support production applications
Implement Infrastructure as Code using Terraform, Ansible, and automation tools
Develop and maintain CI/CD pipelines for reliable software delivery
This leading software engineering consultancy helps global organizations design, build, and scale modern digital products using cloud-native engineering and distributed systems. It fosters a remote-first, engineering-driven culture that values autonomy, technical excellence, and knowledge sharing.
Design and deploy scalable AWS-based applications using services like EC2, Lambda, and S3.
Build ETL workflows and implement CI/CD pipelines with AWS tools.
Ensure security best practices and optimize performance using CloudWatch.
Mind Computing provides IT solutions and supports government agencies like the Department of Veterans Affairs. They foster a remote-friendly culture with opportunities for training and growth.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.
Design and develop machine learning solutions ensuring accuracy, performance, security, and scalability
Implement and maintain end-to-end AI/ML pipelines from data ingestion to deployment
Collaborate across planning, design, and code review to raise overall code quality
We shape the future of communications from remote-first environments. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and inclusion.
Build and maintain AWS infrastructure using Terraform and automation.
Configure and operate Kubernetes environments, mainly EKS, with possible AKS exposure.
Create and improve CI/CD pipelines for infrastructure and application delivery.
Software Mind develops solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Own the US-only production environment end-to-end, including infrastructure deployment, maintenance, scaling, and reliability.
Lead and grow the US-based DevOps team, design scalable AWS infrastructure, and build CI/CD pipelines for safe, fast shipping.
Partner with engineering on application error investigations, improve monitoring and alerting, and coordinate with the Tel Aviv team on shared platform standards.
Zafran de-risks 90% of critical vulnerabilities overnight across hybrid environments using existing security tools. Backed by Sequoia Capital and Cyberstarts, it is one of the fastest-growing companies in cybersecurity, scaling to meet demand from advanced organizations.
Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.
Design and build scalable ML training, deployment, and inference pipelines using CI/CD and cloud infrastructure.
Implement MLOps for model versioning, monitoring, and automated retraining to detect drift and performance degradation.
Partner with Data Scientists and Product teams to productionise models and integrate ML into customer-facing products.
We develop solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts, and combines employment with enjoyment.