Job Description:
As a Graduate Engineer Trainee, you will work with a team of data scientists and engineers to develop, implement, and optimize machine learning algorithms and models. This role offers hands-on experience in data analysis, machine learning, and software engineering while contributing to impactful projects.

Responsibilities:

Develop and test machine learning models and algorithms
Perform data preprocessing, feature engineering, and data analysis
Collaborate with cross-functional teams to apply machine learning solutions
Evaluate and optimize model performance
Write and maintain clean, efficient, and well-documented code
Research and implement emerging machine learning techniques
Prepare and present technical findings and reports

Preferred Skills:

Experience with deep learning frameworks
Familiarity with cloud platforms like AWS, GCP, or Azure
Knowledge of version control systems like Git
Proficiency in SQL and working with databases

Education Requirement: B.Tech or M.Tech in Computer Science, Information Technology, Artificial Intelligence, or related fields

Technical Skills Required: Machine Learning, Artificial Intelligence, Image Processing, Computer Vision, Python, R, TensorFlow, Keras, Scikit-learn, PyTorch, Data Structures, Algorithms, SQL, Cloud Platforms (AWS, GCP, Azure), Git

This role is ideal for candidates passionate about AI, machine learning, and software development, looking to gain real-world experience in a dynamic and collaborative environment

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Graduate Engineer Trainee