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 prospect 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.




Positive 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