Machine Learning Builder
Job summary
We are looking for a Machine Learning Builder to develop, train, evaluate, and deploy machine learning models that solve real-world business challenges. The successful candidate will work closely with data engineers and product teams to build scalable AI solutions.
Job descriptions & requirements
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.
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