ML Engineer
Production model building and deployment, training, optimization, and shipping ML systems that work at scale. Our bread and butter.
View RoleThe AI/ML Roles We Fill
7 specialized roles. 72-hour delivery. One firm that actually understands ML hiring. We only recruit roles where the candidate needs to understand how models work — from research to production. That focus is what makes AlignIQ™ accurate and our vetting process world-class. If the role doesn't touch model development, training, or deployment, we'll refer you to someone who specializes in that. But if you need ML engineers, data scientists, or AI leadership — you're in the right place.
Data Scientist (ML-Focused)
Applied modeling and experimentation , not dashboards or BI. These are candidates who build predictive models, run experiments, and deploy statistical systems.
View RoleLLM / GenAI Engineer
Fine-tuning, RAG pipelines, prompt engineering at production scale. The fastest-growing role in AI, and the hardest to vet without deep technical knowledge.
View RoleMLOps / ML Platform Engineer
Infrastructure that makes models run reliably in production. CI/CD for ML, model monitoring, feature stores, and the plumbing that keeps everything working.
View RoleNLP / Computer Vision Engineer
Deep domain specialization in language or vision systems. Transformer architectures, multimodal models, and production deployment of perception systems.
View RoleAI / ML Research Scientist
Publishing, novel architectures, R&D at the frontier. These candidates advance the state of the art and they’re among the most competitive hires in tech.
View RoleAI / ML Engineering Manager
Technical leaders who build and scale ML teams. They write code, set architecture direction, and manage engineers , the rarest combination in AI hiring.
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Where resumes end, readiness begins.
Applied AI/ML recruiting—active talent delivery engine, not an ATS.
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