Summary:

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Duties & Responsibilities:

Job Description Summary
- We are seeking a motivated, talented Machine Learning Intern to join our team and contribute to AI and ML projects. The internship gives an prospect to work with experienced Data Engineers, Scientists, gain hands-on in developing and upgrading AI/ML models.
- The internship offers the candidate an excellent chance to apply his knowledge and learning on ML algorithms to solve real world problems in Telecom domain around Network Monitoring and troubleshooting, deploying trained models and improve the evaluation scores of the models.

Job Description
- Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on customer data to improve efficacy, and robustness.
- Research and test novel machine learning approaches for analysing large-scale distributed computing applications. Prepare reports, visualizations, and presentations to communicate findings effectively.
- End-to-End ML Ops Lifecycle:



Implement and manage the full ML Ops lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment.
- Model Implementation: Develop and deploy the machine learning models using Keras, PyTorch, TensorFlow ensuring high performance and scalability.
- Distributed Systems: Run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements.
- Proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy, Pandas.
- Good understanding of time series analysis, data mining, text mining, and creating data architectures.
- Processing Approaches: Utilize both batch processing and incremental approaches to manage and analyse large datasets. Conduct data preprocessing, feature engineering, and exploratory data analysis (EDA).
- Algorithm Experimentation: Experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models.

📌 Apprentice - 2 (Chennai)
🏢 Viavi Solutions
📍 Chennai