RedBus Hiring Drive 2024: RedBus Hiring Drive 2024 for its Data Scientist.RedBus Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.
Company Name: RedBus
Role: Data Scientist
Location: Bengaluru
Experience: 1+ Year
Qualification: B Tech graduates from IIT only
Batch: Any
Job Type: Full Time
Salary: 19.2 To 27.0 LPA (Expected)
RedBus Hiring Drive 2024
Job Description:
- Hands-on end to end project implementation starting from Data Gathering to Model implementation
- Experience in writing production-ready code for ML model deployment
- Experience in developing CI/CD for ML models
- Experience in Travel industry is preferred but not mandatory
- Experience with pricing / forecasting problems is preferred but not mandatory
Requirements:
- 1+ Year of Experience: Proven track record in Machine Learning and Software Engineering within a highly competitive environment.
- Problem-Solving Skills: Ability to translate real-life problems into effective ML models, including deep learning, decision trees, and Bayesian models.
- Feature Engineering Expertise: Practical knowledge in feature engineering, model training, tuning, and evaluation.
- Scalable ML System Design: Experience designing scalable ML systems, including feature stores, training pipelines, model serving, deployment, and experimentation frameworks.
- Industry Application: Demonstrated success in applying ML techniques to large-scale industry problems with impactful results.
- ML Libraries and Platforms: Proficiency with libraries and platforms such as TensorFlow, PyTorch, Caffe, Theano, Scikit-Learn, Spark ML, MLflow, Flask, and Django.
- Cloud Experience: Experience with AWS or GCP is a plus.
- Backend Engineering Knowledge: Basic understanding of backend software engineering, including coding and working with scalable software services and systems.
Responsibility:
- Master the Fundamentals: Grasp the core concepts of ML models and swiftly bring them into production.
- Innovate with Impact: Develop cutting-edge ML/DL models to tackle real-world business challenges.
- Expert Coding Skills: Showcase your proficiency in Python or similar programming languages.
- Team Collaboration: Work seamlessly with multiple teams to overcome data-related obstacles.
- Drive Business Value: Focus on maximizing business impact through effective ML models.
- Ensure Reliability: Build robust model monitoring frameworks and regularly calibrate models for optimal performance.
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