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.

Thanks & Regards,

Aziz Hussain

Account Manager

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