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Role: Machine Learning Engineer Location: New Delhi (East of Kailash) Experience: 4 - 6 Years Must have: Experience in LLM or Gen AI What are we looking for? You should be highly motivated and have a self-starter approach to help understand and build predictable systems across various funnels and support, create and deploy machine learning models. Experience in working with scalable recommendation systems is required. Responsibilities: Building highly scalable and robust recommendation systems for personalizing the user experience Building scalable real time infrastructure for extracting actionable information from media including videos and images Improving 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 Establish processes by which models can be trained, retrained and fine tuned Debugging the models based on the evaluation 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) Experience with NLP techniques such as TFIDF, using HuggingFace Embeddings and working with vector-DB 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 Interview Process: 1) 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: We offer comprehensive health insurance coverage to ensure our employees have access to quality healthcare when they need it most. Gratuity: We believe in recognizing the hard work and dedication of our employees. That's why we provide gratuity benefits to show our appreciation for their contributions. Hybrid Work Model: Embracing flexibility, we offer 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. About Rooter