Machine Learning Engineer
3 weeks ago
As a seasoned Machine Learning Engineer, you will play a pivotal role in crafting personalized experiences for our users. Your expertise in Content Personalization and Computer Vision will enable us to deliver tailored content, making our platform more engaging and user-friendly.
Key Responsibilities:
- Develop highly scalable and robust recommendation systems to enhance user experience
- Design and implement scalable real-time infrastructure for extracting actionable information from media, including videos and images
- Improve user metrics by building features using the latest ML and GenAI offerings
- Establish processes for training, retraining, and fine-tuning models based on DevOps and CI/CD principles
- Collaborate with Data Scientists to test, validate, and deploy Machine Learning and Optimization models
Requirements:
• Experience in building and deploying real-world Machine Learning/Deep learning applications
• Familiarity with Classical ML, Deep Learning algorithm techniques, open-source tools and technologies, and programming environments such as Python, SQL, PySpark, and bash scripting
• Experience with various models that support Recommendation systems, including Content-based filtering and Collaborative filtering
• Knowledge of libraries like Scikit-Learn and Pandas
• Experience with Big Data platforms such as Hadoop, Hive, Spark, parquet format, and Hudi
• Familiarity with AWS services ecosystem, including EC2, S3, SNS, and experience with 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)
• Familiarity with NLP techniques, including TFIDF, using HuggingFace Embeddings, and working with vector-DB
Preferred Qualifications:
• Experience with AWS EMR
• Knowledge of MLFlow/KubeFlow basics
• Experience with using Streamlit for dashboarding, SQL, and AWS Athena
• Experience with Redis, Mongodb
• Experience with Reinforcement learning
What We Offer:
At Rooter, we believe in recognizing the hard work and dedication of our employees. That's why we provide comprehensive health insurance coverage, gratuity benefits, and a hybrid work model that empowers our team to achieve work-life balance while maintaining productivity and collaboration.
About Rooter
Rooter is India's largest Gaming and Esports Content to Commerce platform, with over 85 million users. We offer live streaming, videos, and shorts, allowing users to watch and stream various games, participate in live chats, and engage with a community of gamers. Our platform also hosts a marketplace where users can purchase digital or gaming currency, providing a complete user experience for gamers. Rooter's tech stack is one of the best in the category, with a focus on scalability, sustainability, and the use of emerging technologies like AI/ML to build world-class user experiences.
Join us in revolutionizing the gaming industry in India, building the backbone of our tech infrastructure, and enabling large-scale commerce.
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