2 days ago
Chennai, IndiaMid Level
Responsibilities
- Manage the full machine learning lifecycle from data collection through deployment and monitoring.
- Collaborate with data science, QA, infrastructure, and engineering teams to productionize machine learning models.
- Write and optimize robust, reliable code for production ML services operating at scale.
- Support existing ML solutions and evolve them with newer technologies.
- Communicate complex technical concepts clearly through written, verbal, and presentation formats.
- Stay current with developments in data science and machine learning.
Requirements
- Have 2+ years of experience applying machine learning to concrete problems at large scale.
- Hold a bachelor’s or master’s degree in computer science, statistics, or a related field.
- Demonstrate strong computer science fundamentals and the ability to write algorithms effectively.
- Understand data science and machine learning fundamentals, including regression, classification, tree-based approaches, neural networks, and sequence-based models.
- Have working experience with at least one ML model type, such as LLMs, GNNs, deep learning, logistic regression, or gradient boosting trees.
- Have an excellent understanding of the machine learning lifecycle.
- Understand system architecture and big data technologies, including streaming architectures and data pipelines.
- Have experience with Python, SQL, Java, or Scala.
- Preferred experience includes Spark, EMR, S3, Airflow, production LLMs, prompt engineering, Flask, FastAPI, RabbitMQ, embeddings, and vector databases.
Tech Stack
Categories
About Poshmark
Poshmark operates a social marketplace for buying and selling new and secondhand fashion via mobile apps and web, serving consumers and independent sellers. The company earns revenue by taking commissions on peer-to-peer sales and providing shipping and seller tools. Founded in 2011 and headquartered in Redwood City, California, Poshmark was acquired by South Korea’s Naver Corporation in 2023 and now runs as a privately held subsidiary.