Machine Learning Engineer: Scalable Recommendation Systems
3 weeks ago
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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