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AI Model Builder
3 weeks ago
We are looking for a skilled Machine Learning Engineer to join our team.
The ideal candidate will have a strong background in machine learning and data science, with experience in building and deploying AI models.
You will work on various projects across different domains, experiment with modern ML techniques, and collaborate with cross-functional teams to integrate models into production.
This role is ideal for someone who loves both the theory and practice of ML — from building models to deploying them at scale.
- Build, train, and validate ML models for real-world applications.
- Preprocess, clean, and analyze structured/unstructured datasets.
- Work with deep learning frameworks (PyTorch / TensorFlow) and traditional ML libraries (scikit-learn).
- Collaborate with product and engineering teams to integrate models into production.
- Optimize models for speed, scalability, and reliability.
- Document workflows, experiments, and results.
- Stay updated with the latest research and tools in ML/AI.
- Minimum 2 years of experience in machine learning / data science.
- Strong Python skills with hands-on experience in ML libraries.
- Experience with at least one deep learning framework (PyTorch / TensorFlow).
- Understanding of data preprocessing, feature engineering, and evaluation metrics.
- Familiarity with cloud ML services (AWS/GCP/Azure) is a plus.
- Knowledge of MLOps tools (Docker, MLflow, CI/CD) is an advantage.
- Strong problem-solving skills and ability to work independently.
- The latest in AI and ML tools and technologies to work with.
- An inclusive and innovative work environment.
- Opportunities for professional growth and development.
- Flexible working hours, remote and work-from-home options.
- Send your resume and cover letter to the hiring manager.
- Include links to your GitHub/Kaggle projects or ML work.
