AI/ML Engineer
Posted Updated
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines for various business use cases.
- Preprocess, clean, and validate large datasets for use in training and inference.
- Conduct research and stay updated on the latest AI/ML trends, frameworks, and best practices.
- Optimize models for performance, scalability, and efficiency.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Monitor model performance and retrain models as needed.
- Document your work, write clean and maintainable code, and follow best practices in software development and MLOps.
Key Requirements
- Proficient in Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Solid understanding of machine learning and deep learning concepts
- Experience in data preprocessing and model deployment
- Familiar with Git; Docker or MLOps tools are a plus
- Strong problem-solving and teamwork skills
- Bachelor’s in Computer Science or related field