Machine Learning Builder

Responsibilities:
Design and develop machine learning models.
Prepare and preprocess datasets.
Train, validate, and optimize ML models.
Deploy machine learning solutions into production.
Monitor model performance and retrain when necessary.
Conduct feature engineering and model evaluation.
Collaborate with engineering teams on deployment.
Document experiments and model performance.
Stay updated on advancements in machine learning and AI.
Requirements:
Bachelor's degree in Computer Science, Artificial Intelligence, Statistics, or a related discipline.
Minimum 5 years of hands-on machine learning experience.
Strong proficiency in Python.
Experience with TensorFlow, PyTorch, or Scikit-learn.
Knowledge of SQL and data processing frameworks.
Experience with cloud ML platforms.
Strong understanding of statistics and machine learning algorithms.
Preferred Qualifications:
Experience with Large Language Models (LLMs).
Knowledge of MLOps.
Experience with Docker and Kubernetes.
Familiarity with Git and CI/CD practices.