AI/ML Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement machine learning models and algorithms to solve specific business problems.
Prepare and pre-process large datasets, ensuring data suitability for training and testing ML models.
Collaborate with cross-functional teams to gather requirements, iterate on models, and communicate findings effectively to stakeholders.
Minimum Requirements
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or related quantitative discipline.
Work Experience Required: Typically 2-4 years in AI/ML roles or related projects.
Proficiency in programming languages (Python, R, or Java) and ML libraries/frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
Experience with data preprocessing, feature engineering, model evaluation, hyperparameter tuning, and version control systems (e.g., Git).
Ideal Candidate Profile
Has hands-on experience designing and deploying a variety of ML models including regression, decision trees, random forests, SVMs, and deep learning.
Demonstrates ability to handle real-world datasets with data quality challenges and applies appropriate data preparation techniques.
Operates effectively within cross-functional teams, communicates complex technical concepts to non-technical stakeholders, and contributes to iterative model improvements.