Machine Learning Engineer - Chennai
Chennai, Tamil Nādu, India
ClanX
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Commotion is seeking an ML Engineer to join our team in Chennai. In this role, you will develop and deploy machine learning models to enhance our commerce platform. You'll have the flexibility of working hours and the opportunity to contribute significantly to innovative projects.
Requirements
- 3-5 years of experience in machine learning and related technologies.
- Proficient in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with deploying machine learning models in production environments.
- Knowledge of algorithms and statistical methods for data analysis.
- Comfortable with SQL and working with databases.
- Experience with cloud platforms like AWS, GCP, or Azure is a plus.
- Competitive programming experience is a must.
Responsibilities
- Develop, test, and deploy machine learning models for our commerce platform.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Conduct data analysis to identify trends and patterns that can inform business decisions.
- Continuously improve model performance and optimize algorithms.
- Stay updated with the latest advancements in machine learning and data science.
Interview Process
- Technical Screening - 15 to 30 mins
- DSA round - 1 hour
- DSA and Technical round - 1 hour
- Culture round
Company Details
Commotion is a leading company in the commerce industry, dedicated to transforming the way people engage with online shopping. Our innovative solutions aim to enhance user experiences and streamline purchasing processes. With a talented team based in Mumbai, we prioritize creativity and technological excellence in all our projects.
For more information about our company, please visit our website.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Data analysis Engineering Feature engineering GCP Machine Learning ML models Python PyTorch Scikit-learn SQL Statistics TensorFlow
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