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Artificial Intelligence Expert in Deep Learning Solutions
2 weeks ago
About Qrata
We are a dynamic team seeking a talented AI Research Scientist with expertise in deep learning to join our ranks. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a focus on developing, deploying, and optimizing generative models.
Key Responsibilities
- Design, develop, and deploy advanced AI models, with a particular focus on deep learning architectures such as Transformers, Graph Neural Networks, and Autoencoders.
- Collaborate with data scientists, software engineers, and product managers to integrate AI models into production systems.
- Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continuously improve our AI capabilities.
- Optimize and fine-tune deep models for performance, scalability, and robustness.
- Implement machine learning pipelines and workflows to support the deployment and maintenance of AI models in production.
- Analyze large datasets to extract meaningful insights and patterns that can inform model development.
- Participate in code reviews, contribute to technical documentation, and mentor junior team members.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions using AI.
- Ensure the ethical use of AI by adhering to best practices in AI governance and compliance.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A PhD is a plus.
- Proficiency in Python.
- Strong familiarity with deep learning frameworks such as PyTorch, JAX, or Tensor flow.
- Hands-on experience with deep learning architectures, including VAEs, and Transformer models (like GPT, BERT).
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI solutions at scale.
- Familiarity with MLOps practices and tools for CI/CD in AI/ML pipelines.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
- A passion for innovation and a keen interest in the future of AI technologies.
Benefits
- Competitive salary commensurate with experience and qualifications.
- Up to 30% performance bonus.
- Stock options and equity participation in the company's success.
- Comprehensive health, dental, vision insurance, and retirement plan.
- Generous paid time off and flexible work arrangements.
- Professional development and training opportunities.
