Technical Recruiter (Remote)

Hired; Colombia; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Descripción de la vacante

Hired is seeking a skilled ML/NLP engineer to advance Zara, our AI-powered recruitment tool for candidate sourcing, screening, and engagement. You will design and optimize models, build NLP-backed backends, and integrate with ATS and HR platforms, ensuring scalable, ethical AI practices.

You will collaborate with data scientists and product teams to improve training data and model performance while deploying in production across cloud environments.

Formación

• Proficient in Python and ML frameworks.
• Strong NLP background with spaCy or Hugging Face.
• Experience building scalable AI systems in production.
• Experience with cloud platforms (AWS/GCP/Azure) and Docker.

Responsabilidades

• Design, implement, and optimize ML models for Zara’s matching accuracy.
• Develop backend for NLP tasks like resume parsing and job description analysis.
• Integrate Zara with ATS, HR databases, and third-party platforms via APIs.
• Collaborate with data scientists and product teams to refine training data and evaluate models.
• Ensure privacy and ethical AI standards in recruitment workflows.

Conocimientos

Python

TensorFlow

PyTorch

NLP

SpaCy

HuggingFace

REST APIs

Microservices

Docker

AWS

GCP

Azure

SQL

NoSQL

ETL

Ethical AI

Bias mitigation

Educación

Herramientas

Docker

Descripción del empleo

This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.

Key Responsibilities

• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.
• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.
• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.
• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.
• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.

Required Skills & Qualifications

• Proficiency in Python, including experience with machine learning frameworks like TensorFlow or PyTorch.
• Strong background in natural language processing, including experience with libraries such as spaCy or Hugging Face.
• Experience building and deploying scalable AI systems in production environments.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.
• Knowledge of SQL and NoSQL databases for data extraction and integration.
• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.
• Experience with RESTful APIs and microservices architecture.
• Background in data pipeline development and ETL processes.

More About the Opportunity

This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.