:
Collaborate with the team to collect, preprocess, and analyze the application and dataset.
Develop and train models for specific use cases.
Develop Microservices and deploy on cloud
Evaluate model performance using appropriate metrics and improve accuracy and efficiency.
Assist in deploying ML models into production environments.
Document processes, findings, and insights throughout the project lifecycle.
Stay updated on the latest trends and advancements in machine learning and AI.
Requirements
Currently pursuing or recently completed a degree in Computer Science, Data Science, Machine Learning, or a related field.
Strong knowledge of programming languages such as Java and Python.
Familiar with machine learning frameworks
Basic understanding of supervised and unsupervised learning, NLP, or computer vision.
Hands-on experience with data preprocessing and visualization libraries (e.g., Pandas, NumPy, Matplotlib).
Problem-solving mindset and eagerness to learn new technologies.
Preferred Skills:
Experience with SQL and working with databases.
Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
Understanding of version control systems (e.g., Git).
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