Overview
The AI/MI Engineer role is responsible for designing, building, and implementing machine learning models and algorithms by focusing on data preprocessing, model training, and evaluation.
Qualifications
- Extensive experience in AI/ ML research, development, and application in real-world scenarios
- Proven ability in developing and deploying AI/ ML solutions and conducting market research to keep up with technological advancements
- Experience supporting and working with cross-functional teams in a dynamic environment
- Strong analytic skills related to working with unstructured datasets
Responsibilities
- Design, develop, and train machine learning models to solve business problems, while extracting actionable insights and creating robust data pipelines.
- Experiment with different algorithms and techniques to improve model accuracy and performance.
- Clean, preprocess, and transform raw data into a suitable format for model training.
- Perform feature selection and engineering to enhance model performance.
- Select appropriate machine learning algorithms based on project requirements.
- Implement and optimize these algorithms to ensure efficient model performance.
- Evaluate model performance using appropriate metrics and validation techniques.
- cross-validation and hyperparameter tuning to optimize model accuracy.
- Work closely with data scientists, data engineers, and other stakeholders to integrate models into production systems.
- Collaborate with business units to understand requirements and translate them into technical solutions.
- Document model development processes, assumptions, and outcomes.
- Implement and deploy machine learning models into production environments.
- Monitor model performance and ensure models are operating as expected.
- Optimize models for scalability and efficiency.
