
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
November 1

Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
• Build and maintain GitHub-based project infrastructure, including CI/CD workflows. • Set up and manage environments using Docker and other containerized services. • Develop and integrate coding tool environments for agents to interact with via CLI and APIs. • Contribute to RL and LLM research experiments and prototypes. • Handle data collection, preprocessing, and analytics for ML projects. • Collaborate asynchronously with researchers and adapt to evolving project requirements. • Document infrastructure, pipelines, and experimental results in a clear, reproducible manner.
• Background in machine learning, reinforcement learning, or related coursework. • 1–2 LLM or RL-related projects (e.g., GitHub portfolio). • Proficiency with Docker, CLI tooling, and GitHub project management. • Experience with integrations and data pipelines/analytics. • Comfortable with both engineering-heavy and research-oriented tasks. • Ability to navigate ambiguous requirements in fast-moving environments. • Prior team or research lab experience is a plus.
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