NYC’s Machine Learning Talent Partner for Growth-Stage Tech Teams

We deliver vetted AI/ML Product Leaders, Engineers, and MLOps specialists so you can scale without missed revenue or failed hires.

Roles We Hire (Specialties)

We Specialize in Hiring For

Product Leadership (AI & Tech)

What They Do: Product leaders turn cutting-edge technology into products that users can’t live without. They define strategy, own the roadmap, and align engineering, design, and business to deliver market-ready solutions. Whether launching AI-powered features or scaling core platform capabilities, they bridge the gap between vision and execution.

Expertise We Evaluate

  • Strategic Skills: Product strategy, roadmap ownership, market positioning

  • AI/ML Awareness: Understanding AI/ML capabilities, trade-offs, and integration points

  • Execution: Agile product management, backlog prioritization, sprint planning

  • Cross-Functional Leadership: Partnering with engineering, design, data science, and GTM teams

  • Metrics-Driven: OKR creation, KPI tracking, data-informed decision-making

AI/ML Engineers

What They Do: AI/ML Engineers are the technical experts who develop intelligent systems that solve complex problems. They design, build, and deploy machine learning models that drive real business value; from recommendation engines that drive revenue to computer vision systems that automate complex processes. They're not just running experiments in Jupyter notebooks; they're building production-ready AI systems that scale.

Expertise We Evaluate

  • Frameworks & Tools: TensorFlow, PyTorch, Scikit-learn, Hugging Face, MLflow

  • Programming Languages: Python, R, Scala, with strong software engineering fundamentals

  • Specializations: Computer Vision, NLP, Reinforcement Learning, Deep Learning, LLMs

  • Infrastructure: Cloud platforms (AWS, GCP, Azure), containerization, model serving

  • Data Pipeline: Feature engineering, data preprocessing, model monitoring

Infrastructure, Ops & Platform

What They Do: These engineers design and maintain the technical backbone that keeps products, data, and AI models running at scale. From building cloud-native infrastructure to ensuring 99.99% uptime, they create the resilient, efficient systems that enable innovation. They understand the unique demands of AI workloads while also supporting core engineering operations.

Expertise We Evaluate

  • Infrastructure Engineering: Cloud architecture, networking, storage, and compute optimization

  • Platform Development: Internal tooling, developer productivity platforms, API frameworks

  • Ops Excellence: SRE, DevOps, automation, CI/CD, observability, incident response

  • AI/ML Ops: Model serving, feature stores, scaling training workloads, monitoring model drift

  • Tooling & Services: Kubernetes, Docker, Terraform, Airflow, MLflow, Databricks

Contact Us

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