Principal Data Engineer for Scalable Recommendation Systems

19 hours ago


Delhi, Delhi, India Rooter Full time
Job Description

We are seeking a highly motivated Principal Data Engineer to join our team at Rooter. As a key member of our engineering team, you will be responsible for designing and developing scalable recommendation systems that enhance the user experience.

Key Responsibilities:
  • Design and implement highly scalable and robust recommendation systems
  • Build real-time infrastructure for extracting actionable information from media including videos and images
  • Improve user metrics by building features using latest ML and GenAI offerings
  • Develop ML Ops processes to support training and deployment of models based on DevOps and CI/CD principles
  • Partner with Data Scientists to test, validate and deploy Machine Learning and Optimization models
Requirements:
  • Experience in building/deploying real-world Machine Learning/Deep learning applications
  • Experience with or exposure to: Classical ML, Deep Learning algorithm techniques, open source tools and technologies, programming environments such as Python, SQL, PySpark, bash scripting
  • Experience with various models that support Recommendation systems like Content-based filtering and Collaborative filtering
  • Experience with libraries like Scikit-Learn and Pandas
  • Experience with Big Data platforms such as Hadoop, Hive, Spark, parquet format, Hudi
  • Experience in working with AWS services ecosystem (EC2, S3, SNS etc)
  • Experience in Data Cleaning, Feature enhancements, MLOps for logging, evaluation of the models in shadow and live mode
  • Experience with tree based ML algorithms and clustering algorithms (XGBoost, GBT, RF, Bi-KMeans, DBScan)
Good to Have:
  • Experience with AWS EMR
  • Knowledge of MLFlow/KubeFlow basics
  • Experience with using Streamlit for dashboarding, SQL, AWS Athena
  • Experience with Redis, Mongodb
  • Experience with Reinforcement learning
Qualification:

B.Tech. Degree in Computer Science, Artificial Intelligence or related field

Benefits

We offer comprehensive health insurance coverage, gratuity benefits, and a hybrid work model where employees can enjoy the best of both worlds. With four days in the office and one day working from home, we empower our team to achieve work-life balance while maintaining productivity and collaboration.



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