About GenieAI


GenieAI is not just another AI company trying to push the boundaries of AI. Our main intention is to boost Human Intelligence and Innovation through AI and Digital Integration. This approach allows us to position ourselves as a unique company with much potential, bringing the future closer than ever. We are forming a completely new understanding of creativity, innovation, and the World’s perspective.

To achieve our mission, we need a diverse team of people who think differently and contribute with their own special ideas brought in by different perspectives.

About the Role

We are looking for a highly skilled Deep Learning Engineer to join our dynamic team. You’ll be responsible for designing, developing, and implementing deep learning models and algorithms to solve complex problems and improve our products and services.

Responsibilities

  • Design and develop deep learning models and algorithms.
  • Collaborate with our software engineers and CTO to gather requirements and data.
  • Implement and optimize deep learning models for performance and scalability.
  • Conduct experiments and analyze results to improve model accuracy.
  • Develop and maintain documentation for models and algorithms.
  • Participate in code reviews and provide feedback to team members.
  • Troubleshoot and resolve issues related to deep learning models.
  • Implement model evaluation and validation techniques.
  • Participate in research and development projects to explore new technologies.
  • Develop and maintain automated pipelines for model training and deployment.

Requirements

  • Master’s or Ph.D. in Computer Science, AI, ML, Mathematics, or a related field.
  • 2+ years of hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
  • Proficiency in Python with experience in libraries such as NumPy, pandas, and Scikit-learn.
  • Knowledge of distributed computing frameworks (Apache Spark, Ray).
  • Fluency in neural network architectures (CNNs, RNNs, LSTMs, GANs, transformers).
  • Experience deploying ML models in cloud environments (AWS, Azure, GCP) or edge devices.
  • Experience developing AI agents or conversational AI systems.
  • Familiarity with reinforcement learning and multi-agent systems.
  • Advocate of software engineering principles (Git, CI/CD).
  • Experience with NLP and computer vision applications.
  • Previous experience with startups.

Remuneration

!! This position is EQUITY ONLY till the company gets funded !!

Apply

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