AI Developer EarthLink Telecommunications

AI/ML Model Development:

• Implement machine learning and deep learning models under the guidance of senior staff.
• Apply supervised and unsupervised learning techniques to solve practical problems.
• Perform model evaluation and help with model optimization (e.g., hyperparameter tuning)
• Data Preparation & Feature Engineering:
• Assist in data exploration, cleaning, preprocessing, and transformation for ML pipelines.
• Develop and validate features that improve model performance and generalization.
• Work with structured and unstructured data, including text and images.

Model Integration & Deployment :

• Package and deploy models into applications or services (APIs, batch jobs).
• Collaborate with engineering teams to ensure seamless integration of AI components.
• Assist in testing and monitoring deployed models for accuracy and stability.

Research & Prototyping:

• Explore and experiment with new algorithms or techniques relevant to the project.
• Stay updated on industry trends and contribute to proof-of-concept solutions.
• Document findings and share insights with the team.

Collaboration & Communication :

• Work closely with data scientists, ML engineers, software developers, and product teams.
• Translate technical concepts into understandable terms for cross-functional stakeholders.
• Participate in code reviews, sprint planning, and daily stand-ups.

Best Practices & Documentation :

• Write clean, maintainable, and efficient code following team conventions.
• Maintain documentation for datasets, models, and experiments.
• Follow internal MLOps processes for model versioning and reproducibility.