AI/Machine Learning Engineer

TL;DR

AI/Machine Learning Engineer (AI/ML): Develops AI and machine learning systems that ship to production and create real customer value, focusing on automation, insight, and assistive workflows. Focus on reliability, scalability, and clear success metrics.

Company

hirify.global delivers advanced technology solutions and satellite team support that streamline operations, boost efficiency, and transform the way firms and corporate legal departments work day to day.

What you will do

• Build, evaluate, and maintain ML and/or LLM-driven systems that power product features.
• Develop data pipelines, training/evaluation workflows, and tooling to support iteration.
• Optimize models and inference workflows for latency, scalability, and cost.
• Collaborate closely with backend engineers to deploy and integrate models into production.
• Stay current with modern ML/AI approaches and propose pragmatic improvements.

Requirements

• Strong Python proficiency (this is essential).
• Ability to translate messy real-world problems into workable approaches with clear success criteria.
• Strong debugging and analytical thinking; comfortable iterating from prototype to production.
• Solid foundations in ML/AI concepts (e.g., experience with LLMs, classification/regression, evaluation metrics, overfitting, data leakage, experiment design).

Nice to have

• 2+ years of prior experience.
• Experience with LLM applications (RAG, embeddings, prompt engineering, evaluation, guardrails).
• Experience with common ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.).
• Experience deploying models (batch or real-time inference), monitoring, and model lifecycle management.
• Familiarity with AWS, containers, and CI/CD.
• Experience with NLP, information extraction, search, or document understanding.

Culture & Benefits

• Health insurance
• Flexible vacation time
• Birthday leave
• Christmas bonus (25 days)
• Tenure bonus
• English classes