Role Overview and Key Responsibilities
The Entry Level AI/ML Developer is responsible for designing, building, and testing machine learning models and AI applications, with a focus on data preprocessing, model training, and integration.
Data Prep & Preprocessing: Gathering, cleaning, and preprocessing data to make it suitable for training AI models
Model Development & Training: Assisting in developing, coding, and training machine learning algorithms (e.g., using Python, TensorFlow, PyTorch)
Testing & Optimization: Testing model performance, identifying bugs, and refining accuracy under the supervision of senior developers
Integration & Deployment: Integrating AI models into existing software applications and cloud platforms
Documentation & Reporting: Documenting AI processes, model architecture, and experimental results for team review
Collaboration: Working with data scientists and engineers to integrate AI solutions into products
Continuous Learning: Staying updated on emerging AI trends, best practices, and new technologies
Qualifications and Specialization
Programming Languages: Strong proficiency in Python, and often Java or C++
AI/ML Frameworks: Familiarity with TensorFlow, PyTorch, Keras, or Scikit-learn
Unique Experience from This Role
Data Handling: Experience with SQL/NoSQL databases and data libraries (e.g., Pandas, NumPy)
Learning Outcomes
By the end of the engagement, the individual should be able to build, test, and deploy simple models while understanding how to improve model performance and avoid common pitfalls
