Machine Learning Engineer
1 month ago
We are seeking a highly motivated and self-driven Machine Learning Engineer to join our team at Rooter. As a key member of our tech infrastructure, you will play a crucial role in building scalable and robust recommendation systems, real-time infrastructure for extracting actionable information from media, and improving user metrics through the latest ML and GenAI offerings.
Responsibilities- Design and develop highly scalable and robust recommendation systems for personalizing the user experience
- Build 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
- 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
- Establish processes for training, retraining, and fine-tuning models
- Debug models based on evaluation results
- Experience in building and 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, including 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 models in shadow and live mode
- Experience with tree-based ML algorithms and clustering algorithms (XGBoost, GBT, RF, Bi-KMeans, DBScan)
- Experience with NLP techniques such as TFIDF, using HuggingFace Embeddings, and working with vector-DB
- 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
B.Tech. Degree in Computer Science, Artificial Intelligence, or related field
Interview Process1. Basic Screening Round by HR Team
2. Technical Knowledge Round(s)
3. HR Head Round
4. Co-Founder's Round (In-Office)
5. Founder's Round
Employee Benefits- Health Insurance: Comprehensive health insurance coverage for quality healthcare
- Gratuity: Recognition of hard work and dedication with gratuity benefits
- Hybrid Work Model: Four days in the office and one day working from home for work-life balance and productivity
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 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 a world-class user experience. Rooter's revenue grew 91% CAGR over the last 5 years, and we are on course to be EBITDA positive in the next 3 quarters. We have raised $35 million in primary capital and are expanding globally, adding the next 100 million users. Join us if you are looking to be part of the Gaming Revolution in India, building the backbone of Tech infrastructure and enabling large-scale commerce.
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