Generative AI Engineer

Key Responsibilities

• Design, build, and deploy generative AI models (text, image, code) using Python and frameworks like TensorFlow or PyTorch .
• Fine-tune AI models, optimize hyperparameters, and evaluate performance for quality output.
• Integrate AI solutions into existing systems or develop new applications, including cloud deployment for scalability.
• Work with leadership and stakeholders to identify AI opportunities and support business strategies.
• Develop and maintain large-scale data ecosystems, ensuring data management, governance, and integration.
• Build and prioritize backlogs for ML-enabled features.
• Stay updated with the latest research, tools, and ethical considerations in generative AI.
• Implement automation and cognitive techniques for data insights, prediction, and operational efficiency.
• Collaborate across teams to develop standards and best practices for generative AI solutions.

Technical Skills Required

• Strong experience in deep learning : PyTorch, TensorFlow, Jax, Ray.
• Experience with machine learning APIs and NLP.
• Proficiency in Python , API development, and data preprocessing.
• Experience with Google Cloud Platform (GCP) , Vertex AI, and microservices architecture.
• SQL expertise: BigQuery, Cloud SQL, Postgres SQL .
• Experience with containerization: Docker, Kubernetes .
• Hands-on experience with CI/CD for ML , serverless deployment, and cloud-based ML pipelines.
• Familiarity with working on large datasets and applying AI/ML techniques in real-world applications.

Preferred Skills

• Experience in computer vision applications for generative AI.
• Knowledge of ethical AI development and data privacy standards.
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.