
Python
3 days ago
Design, develop, and deploy scalable recommender systems using popular machine learning algorithms such as collaborative filtering, matrix factorization, and deep learning techniques.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions.
- Conduct thorough exploratory data analysis to identify relevant features and patterns in large-scale datasets.
- Implement and optimize machine learning models for performance, scalability, and efficiency.
- Continuously monitor and evaluate model performance using relevant metrics and implement necessary improvements.
- Document code, methodologies, and experiment results for reproducibility and knowledge sharing purposes.
Pay: Up to ₹1,500,000.00 per year
Schedule:
- Day shift
Application Question(s):
- How many years of experience do you have with cloud computing platforms?
- Are you aware of natural language processing (NLP) techniques and text-based recommendation systems?
- Do you have familiarity with recommendation system evaluation techniques?
- How many years of experience do you have as a Python Machine Learning Engineer?
Work Location: In person
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