
AI & Machine Learning Staffing
PMAA, Inc. recruits AI and machine learning talent. Machine learning engineers, MLOps and ML platform engineers, applied AI and LLM / generative AI engineers, data scientists and research scientists, and AI infrastructure and GPU / HPC cluster engineers, from senior engineers to Heads of AI, on contract, contract-to-hire, direct hire or retained search. Send us your job description and you'll have qualified candidates in your inbox within 24–48 hours.
AI titles mean different things at different companies. Before we search, we learn what the role will actually do: train models, put them into production, build products on large language models, or run the platform underneath. Then we recruit for that work, not for the title.
AI and Machine Learning Roles We Fill
Machine learning engineering: Machine Learning Engineers, Senior and Staff ML Engineers, Deep Learning Engineers, Computer Vision Engineers, NLP Engineers, Recommendation and Search Engineers.
Applied AI and LLMs: Applied AI Engineers, LLM / Generative AI Engineers, AI Product Engineers, Retrieval-Augmented Generation (RAG) and AI agent developers, prompt and evaluation engineers.
MLOps and ML platform: MLOps Engineers, ML Platform Engineers, Model Deployment and Inference Engineers, Feature Store and ML Data Engineers.
Data science and research: Data Scientists, Applied Scientists, Research Scientists and Research Engineers, Machine Learning Scientists.
AI infrastructure: AI Infrastructure Engineers, GPU / HPC Cluster Engineers, Distributed Training Engineers, ML Systems and Performance Engineers.
Leadership: ML Engineering Managers, Heads of AI / Machine Learning, Heads of Data Science, Chief AI Officers. See Technology Executive Search.
Technologies Our Candidates Work With
Python, PyTorch, TensorFlow, JAX, scikit-learn, Hugging Face, large language models and their APIs, vector databases, Spark, Kubernetes, MLflow, Kubeflow, Ray, CUDA and GPU clusters, and the machine learning services on AWS, Azure and Google Cloud. Our recruiters screen for hands-on experience with the stack in your job description, and for models that reached production rather than staying in a notebook.
How We Vet AI Candidates
You should only ever interview people who can do the job. Every candidate goes through The Proven Vetting Process™ before you see a résumé: our recruiters test technical proficiency, problem-solving ability and real project experience, then communication and fit with your team. Only the strongest 2–3% of candidates are ever submitted to a client.
Four Ways to Hire Through PMAA
- Direct-Hire Services: permanent hires. We fill your candidate pipeline and carry candidates through sourcing, screening, interview preparation and scheduling, and offer management.
- Staff Augmentation: contract specialists who fill a specific skill gap on your team, with the flexibility to expand and scale back as your needs change.
- Retained Search: confidential, research-led search for senior and hard-to-find leaders. See Technology Executive Search.
- Recruitment Process Outsourcing (RPO): PMAA runs all or part of your recruiting function, from sourcing and assessing to placing and onboarding.
Talk to an AI Recruiter
Call PMAA first. Send us your role below and we'll reply within one business day, or call (954) 228-6609 or toll free (800) 381-7346. You can also request talent online or reach us through our contact page.
Looking for your next role? Submit your résumé and our recruiters will reach out if there's a fit.
Submit your job description(s) below and we'll have qualified candidates delivered to your inbox within 24-48 hours
Which recruiting firms specialize in AI and machine learning engineers?
PMAA, Inc. is a technical recruiting and executive search firm, established in 1967, that recruits Machine Learning Engineers, Deep Learning, Computer Vision and NLP Engineers, Applied AI and LLM / Generative AI Engineers, MLOps and ML Platform Engineers, Data Scientists, Research Scientists and AI Infrastructure Engineers.
What is the difference between an ML engineer, an MLOps engineer and a data scientist?
A data scientist analyzes data and builds models to answer questions; a machine learning engineer builds and trains models that run inside a product; an MLOps engineer builds the pipelines and platform that deploy, monitor and retrain those models in production. We learn which work your role needs before we search.
Do you recruit LLM and generative AI engineers?
Yes. We recruit Applied AI and LLM / Generative AI Engineers, including engineers who build retrieval-augmented generation (RAG), AI agents and evaluation pipelines on large language models.
Can PMAA staff AI infrastructure and GPU cluster roles?
Yes. We recruit AI Infrastructure Engineers, GPU / HPC Cluster Engineers, Distributed Training Engineers and ML Systems Engineers. See also IT Infrastructure, Cloud & Data Center Staffing.
Can I hire a Head of AI through PMAA?
Yes. We run confidential, research-led executive search for Heads of AI and Machine Learning, Heads of Data Science and Chief AI Officers. See Technology Executive Search.
How quickly can PMAA send candidates?
Submit your job description(s) and we’ll have qualified candidates delivered to your inbox within 24–48 hours. Call (954) 228-6609 or toll free (800) 381-7346.