Architect and optimize distributed training and inference systems for large-scale AI models.
Design and deliver customer-focused solutions that maximize performance and business value, leading the transition of ML pipelines from POC to production.
Build long-term customer relationships, create whitepapers, deliver technical presentations, and collaborate with engineering teams to influence product roadmaps.
Define end-to-end architecture for AI/ML systems, including data pipelines, model training, and MLOps.
Serve as a strategic advisor to clients, leading solution design discussions and presenting AI/ML architectures to drive innovation.
Architect scalable solutions using cloud-native AI tools and guide teams on MLOps frameworks for CI/CD and model management.
3Pillar Global is a software product development company that builds digital products for clients. It is a fast-growing global team of thousands of professionals with a culture focused on collaboration, impact, and continuous improvement.
Serve as the senior-most technical expert on applying advanced AI and ML practically.
Lead in designing secure and scalable AI solutions, going beyond API integrations for competitive advantages.
Guide customers and engineering teams on best practices for high-performance training, model serving, and complex agentic systems.
Zencore is a fast-growing company established by former Google Cloud leaders, architects, and engineers. They focus on eliminating obstacles, reducing risk, and accelerating timelines for customers transitioning to Google and modernizing data and applications. They are committed to a diverse and inclusive workplace.
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 and implement AI-powered systems using a mix of classical ML techniques and modern LLM-based approaches.
Apply a range of techniques—from classical ML to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Collaborate closely with product managers and designers to deliver high-quality, customer-focused features.
Optro is a leading audit, risk, ESG, and InfoSec platform, exceeding $300M ARR and experiencing continuous growth. They empower over 50% of the Fortune 500 with their award-winning technology, fostering innovation and customer satisfaction, and are recognized as one of North America's fastest-growing tech companies.
Design and implement evaluation systems and tooling to validate Oura’s custom AI models and Advisor
Develop novel evaluation methods to measure grounding, reliability, and actionability of LLM and agentic systems
Build and optimize custom AI models through fine-tuning, knowledge distillation, and quantization
Oura's mission is to empower every person to own their inner potential. Their award-winning products help their global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. They are focused on helping people live healthier and happier lives, and ensure that their team members have what they need to do their best work — both in and out of the office.
Provides program‑level leadership for AI/ML strategy.
Directs architecture and integration of AI/ML capabilities.
Establishes enterprise model governance, ethical AI principles, and production standards.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Lead the design of end-to-end AI/ML solutions, ensuring scalability, reliability, and alignment with client business objectives.
Translate ambiguous business challenges into clear, actionable AI strategies and solution architectures.
Define and guide implementation of enterprise AI systems, including data pipelines, model development workflows, and production inference architectures.
Eimagine helps clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success. They are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for their teammates.
Own the design, implementation, and evolution of core MLOps systems across Hyperstack.
Build and improve systems that orchestrate model training, fine-tuning, evaluation, and deployment.
Define and embed strong MLOps practices across teams.
NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. They deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature.
Responsible for architecting, developing, and integrating AI and machine learning capabilities.
Leads design and development of AI/ML-enabled application features.
Applies machine learning, natural language processing, or automation techniques.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
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, build, and maintain scalable training infrastructure for computer vision workloads
Implement and manage distributed training pipelines to support large-scale model training and hyperparameter tuning
Build and maintain robust data pipelines for ML development
Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through their advanced AI solutions. Their computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network.
Design, build, and deploy generative AI applications using Google Gemini, PaLM 2, and other Google-hosted foundation models via Vertex AI.
Implement Retrieval-Augmented Generation (RAG) architectures using Vertex AI Search, Vector Search, and document embedding pipelines for enterprise knowledge retrieval.
Develop end-to-end ML pipelines from data ingestion and feature engineering through model training, evaluation, and production deployment on Vertex AI Pipelines / Kubeflow.
Roboyo is a category shaper in Agentic Automation that helps leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. They are a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.