Software Engineer (Data Science)
Bengaluru, India
Universal Electronics
Universal Electronics designs, develops and manufactures innovative products used by the world’s leading brands. Tell us about your next project.Responsibilities :
- Build, Retrain, Optimize ML Pred2 ML models SSDP, CEC, IF, rDNS, mDNS etc.
- Analyze the Predictive Issues and Provide RCA
- Optimize ML pipeline to improve the performance.
- Optimize cost and response time (Latency) of ML models.
- Model deployment and Data drift monitoring.
Qualification & Skills :
- B.E. Computer science
- Machine Learning and Deep learning experience of 1-3 years.
- Proficiency of various ML algorithms for supervised and unsupervised Learning. Including but not limited to ANN and CNN.
- Good experience in Python: pandas, Scikit Learn. NumPy.
- Familiar with statistical tests, distributions, maximum likelihood estimators, Hypothesis Testing, probability etc.
- Very good knowledge of SQL, MS Word, Excel, Access, and PowerPoint
- Communicate proficiently internally and externally, with technical and non-technical audiences
- Present information using data visualization techniques
- Knowledge of deployment of ML Models on Azure
- Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark etc.
Good to have:
Universal Electronics Inc. is an equal employment opportunity employer. We are proud of our diverse workforce and we believe having diverse teams that everyone brings their whole self to work everyday is key to all of our success. We welcome all people of different experiences, backgrounds, perspectives and abilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ANN Azure Computer Science Data visualization Deep Learning Excel Hadoop Machine Learning ML models Model deployment NumPy Pandas Python Scikit-learn Security Spark SQL Statistics Testing Unsupervised Learning
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