AI/ML Engineer

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