AI Engineer
About the role
We are looking for a motivated and technically strong AI Engineer to join our engineering team. The ideal candidate will work on developing, testing, and deploying AI and machine learning solutions for real-world business applications. This role is suitable for fresh graduates and candidates with 0 3 years of experience who have a strong foundation in programming, mathematics, machine learning, and artificial intelligence.
The ideal candidate is a curious, analytical, and technically driven professional who is passionate about Artificial Intelligence and enjoys solving complex problems using data and technology. Candidates should have strong Python and machine learning fundamentals and a willingness to continuously learn and experiment with emerging AI technologies.
Responsibilities
- Develop and implement machine learning and AI models for business and technical applications.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Build, train, evaluate, and optimize machine learning models.
- Apply algorithms for classification, regression, clustering, recommendation, and prediction problems.
- Work with Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Assist in developing Generative AI and LLM-based applications, including prompt engineering and AI-powered workflows.
- Work with APIs and integrate AI/ML models into software applications.
- Perform exploratory data analysis and feature engineering.
- Evaluate model performance using appropriate metrics and validation techniques.
- Fine-tune and optimize models based on business requirements and performance results.
- Assist in deploying AI/ML models into development or production environments.
- Collaborate with software engineers, data scientists, product teams, and business stakeholders.
- Document model development, experiments, results, and technical processes.
- Research emerging AI technologies and evaluate their potential applications.
- Participate in code reviews, testing, debugging, and continuous improvement activities.