- Experience
- Any
- Salary
- USD 160,000 – USD 300,000 / year
- Openings
- 1
- Posted
- 11 seconds ago
- Work mode
- Work from home
- Resume
- Required to apply
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Job description
Overview
This full-time remote position involves developing and enhancing Zara, an AI-driven recruitment platform designed to automate tasks such as candidate sourcing, screening, and engagement. The role demands advanced technical skills in machine learning and AI, working closely with interdisciplinary teams to implement scalable recruitment solutions.
Key Responsibilities
- Create, implement, and fine-tune machine learning algorithms to boost candidate matching accuracy and speed for Zara.
- Build and sustain backend systems supporting natural language processing for parsing resumes and analyzing job descriptions.
- Integrate Zara with various systems including applicant tracking, HR databases, and external job portals using APIs.
- Collaborate with data scientists and product managers to enhance AI training data and measure performance indicators of the models.
- Ensure that recruitment processes comply with privacy laws and ethical standards for AI usage.
Required Skills and Experience
- Expertise in Python and experience with ML frameworks like TensorFlow or PyTorch.
- Strong proficiency in NLP with familiarity in tools such as spaCy or Hugging Face.
- Proven track record of deploying scalable AI solutions in live production setups.
- Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) along with container tech like Docker.
- Competence in handling both SQL and NoSQL databases for efficient data integration.
- Understanding AI ethics, especially methods to reduce bias in recruitment algorithms.
- Experience working with RESTful APIs and microservices architectures.
- Skills in developing data pipelines and ETL workflows.
Additional Information
This opportunity allows you to work on cutting-edge AI recruitment technologies impacting global hiring practices by enhancing fairness and efficiency. The employer is committed to equal opportunity hiring, welcoming qualified individuals from all backgrounds. Selection is based exclusively on technical competence and relevant qualifications.