Summary:
0

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 opportunity to work with experienced Data Engineers, Scientists, gain hands-on in developing and upgrading AI/ML models.
- Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on customer data to improve efficacy, and robustness.
- 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.




- Valuable 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.
- Cloud Knowledge: Execute machine learning algorithms in cloud environments, leveraging cloud resources effectively.
- Model Retraining: Continuously gather feedback from users, retrain models, and update them to maintain and improve performance, optimizing model inference times.
- Network Domain Expertise: Quickly understand network characteristics, especially in RAN and CORE domains, to provide exploratory data analysis (EDA) on network data.
- Transformer Architecture: Implement and utilize t

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