Machine Learning Engineer: Scalable Recommendation Systems

3 weeks ago


Delhi, Delhi, India Rooter Full time
Job Description

We are seeking a highly motivated Machine Learning Engineer to join our team at Rooter. As a key member of our engineering team, you will be responsible for building and deploying scalable recommendation systems that personalize the user experience.

The ideal candidate will have a strong background in machine learning, deep learning, and computer vision, with experience in building and deploying real-world applications. You will work closely with our data scientists to design and implement models that improve user metrics and drive business growth.

Key Responsibilities:

  • Design and implement scalable recommendation systems that personalize the user experience
  • Build and deploy real-time infrastructure for extracting actionable information from media, including videos and images
  • Work with data scientists to design and implement models that improve user metrics and drive business growth
  • Develop and maintain 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 and deploying real-world machine learning and deep learning applications
  • Strong background in machine learning, deep learning, and computer vision
  • Experience with classical ML, deep learning algorithms, open-source tools, and technologies, including Python, SQL, PySpark, and bash scripting
  • Experience with libraries like Scikit-Learn and Pandas
  • Experience with big data platforms, including Hadoop, Hive, Spark, and parquet format
  • Experience working with AWS services ecosystem, including EC2, S3, and SNS

Good to Have:

  • Experience with AWS EMR
  • Knowledge of MLFlow and KubeFlow basics
  • Experience with using Streamlit for dashboarding, SQL, and AWS Athena

We offer a competitive salary and benefits package, including health insurance, gratuity, and a hybrid work model. If you are a motivated and experienced machine learning engineer looking to join a dynamic and growing company, please submit your application.



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