Generative AI Engineer

Role - Generative AI Engineer

Location - Atlanta, GA

Mode - Fullltime/Onsite.

Roles & Responsibilities:

Designing and building Algorithms and Machine Learning Models

Data preparation: Collect, clean, and preprocess large datasets for training and testing AI models.

Programming and Implementation: Write efficient, scalable code (often in Python, R, or C++) to implement AI models and integrate them into applications.

Model Evaluation and Optimization: Test models for accuracy, precision, recall, and other metrics. Fine-tune hyperparameters and address issues like overfitting or underfitting.

Deployment and Integration: Deploy AI models into production environments (e.g., cloud platforms like AWS, Azure, or GCP). Integrate models with existing software systems, APIs, or user interfaces.

Collaboration: Work with data scientists, software engineers, and domain experts to define requirements and align AI solutions with business goals. Communicate complex technical concepts to non-technical stakeholders.

Maintenance and Monitoring: Monitor model performance in production, addressing drift or degradation. Update models with new data or retrain as needed.

Research and Innovation: Stay updated on AI trends, tools, and techniques (e.g., deep learning, reinforcement learning, generative AI). Experiment with new approaches to improve model efficiency and accuracy.

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Salary Range - $100,000-$150,000 a year