Weekday

👥 1-10💰 over 3 years agoE-CommerceFashion💼 Private Company
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Weekday is revolutionizing the hiring process, focusing on connecting companies with top-tier tech talent. Our core product is a sourcing engine that leverages a vast database of white-collar professionals in India, coupled with automated outreach tools, resulting in high response rates. We're a Y Combinator-backed startup that was also the #1 Product of the Day on Product Hunt. As a company with a strong bias for action, we foster an environment where every team member can make an immediate impact. We prioritize efficiency, which is reflected in our streamlined workflows and minimal meetings. Our tech stack includes Viewport Meta, IPhone/Mobile Compatibility, Google Font API, and utilizes technologies such as CDN and SSL by Default to ensure an optimal user experience. We are dedicated to building a robust platform and currently use a number of technologies to do so. We are looking for talented individuals to join our fast-growing team. Opportunities include roles in sales, data science, and data engineering, all with the potential for remote work. We offer the chance to work directly with clients, be responsible for revenue generation, and have a high degree of autonomy and ownership. Our current full-time team size is approximately 32, providing a collaborative and impactful environment. We're seeking individuals who are driven, adaptable, and eager to contribute to the future of hiring.

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🔥 Java Developer
Posted 4 days ago
Posted 4 days ago
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🔥 AI/ML Engineer
Posted 8 days ago

🧭 Contract

  • Strong proficiency in Python or R and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
  • Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
  • Experience with cloud platforms (AWS, Azure, GCP) and deploying models using tools like Docker and Kubernetes.
  • Proficiency in data preprocessing, feature engineering, and working with large datasets.
  • Knowledge of MLOps practices and tools for model monitoring and versioning.
  • Familiarity with NLP, computer vision, or time-series analysis is a plus.
  • Strong problem-solving skills, attention to detail, and the ability to work in dynamic, agile environments.
  • Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Develop, train, and optimize machine learning models using tools like TensorFlow, PyTorch, and scikit-learn.
  • Design and deploy scalable AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
  • Preprocess and analyze large datasets to extract valuable insights and prepare data for model training.
  • Implement and maintain pipelines for continuous model training, testing, and deployment.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI/ML solutions into products.
  • Monitor the performance of AI/ML systems in production and optimize them for scalability and efficiency.
  • Stay updated with the latest advancements in AI and ML, applying cutting-edge techniques to real-world problems.
Posted 8 days ago
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🔥 Data Engineer
Posted 11 days ago

📍 India

  • Proficiency in SQL, Python, or Scala for data processing.
  • Hands-on experience with Apache Airflow, Kafka, or dbt.
  • Knowledge of cloud-based data solutions like AWS Redshift, Google BigQuery, or Azure Synapse.
  • Strong understanding of data modeling, warehousing, and database optimization.
  • Ability to work independently and manage multiple projects in a fast-paced startup environment.
  • Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines for efficient data processing.
  • Optimize data architectures for reliability, scalability, and performance.
  • Work closely with data scientists, analysts, and software engineers to integrate data solutions into products and services.
  • Implement monitoring and validation processes to ensure data integrity and quality.
  • Work with cloud-based data platforms (AWS, GCP, Azure) and database technologies (SQL, NoSQL, data warehouses).
  • Develop and maintain comprehensive documentation for data workflows and processes.
  • Contribute to the continuous improvement of data engineering best practices.
Posted 11 days ago
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