Data Scientist

🕒 2 days ago

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

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.

📋 Description

• Design, build, and optimize AI models using Vision Language Models (VLMs) and multimodal learning techniques. • Develop computer vision pipelines for image classification, object detection, segmentation, visual reasoning, OCR, and image understanding. • Build multimodal AI systems that effectively combine text, images, videos, and structured data to solve business challenges. • Research, evaluate, and implement state-of-the-art deep learning models and emerging AI architectures. • Prepare, clean, annotate, and validate large-scale datasets for machine learning and computer vision applications. • Develop efficient data preprocessing, augmentation, and feature engineering pipelines to improve model quality. • Fine-tune pre-trained vision and multimodal foundation models for domain-specific use cases. • Conduct experiments, evaluate model performance using appropriate metrics, and continuously improve model accuracy and efficiency. • Collaborate with engineering teams to deploy AI models into production and monitor their performance. • Document experiments, methodologies, and best practices while staying updated with the latest advancements in AI research.

🎯 Requirements

• Min Experience: 4+ years • Strong experience with Vision Language Models (VLMs) and multimodal AI architectures. • Hands-on expertise in Computer Vision, including image processing and deep learning-based vision tasks. • Solid understanding of Multimodal AI, integrating text, image, and video data for intelligent applications. • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. • Experience working with transformer-based architectures and foundation models. • Strong knowledge of machine learning algorithms, model evaluation, optimization, and experimentation. • Familiarity with GPU-based training and distributed deep learning workflows. • Good understanding of data structures, algorithms, and software engineering best practices. • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field. • 4–6 years of professional experience in Data Science, Computer Vision, or Applied AI. • Strong analytical, problem-solving, and communication skills. • Passion for researching and implementing cutting-edge AI technologies while delivering production-ready solutions.