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AI Engineer - Generative AI at Remote, Remote, USA
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ayush,

Scalable Systems

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AI Engineer - Generative AI

Urbana, MD

Key Responsibilities:
Model Development: Design, develop, and maintain advanced AI models for a variety of Generative AI applications.
Prompt Engineering: Conduct prompt engineering and implement optimization techniques like RAG to ensure models generate informative and contextually relevant responses.
Model Evaluation: Rigorously test and validate models to ensure their effectiveness and accuracy.
Responsible AI: Adhere to principles of Responsible AI, including fairness, transparency, privacy, and accountability. Implement risk and compliance measures to mitigate potential biases and ethical concerns.
Continuous Improvement: Stay up-to-date with emerging AI technologies and industry trends to continuously enhance AI solutions.
Collaboration: Work closely with cross-functional teams to integrate AI solutions into existing processes and maximize their impact.
Time Management: Manage multiple AI use cases simultaneously and deliver high-quality results within established timelines.
Office-Based Work: Working from the office is mandatory for real-time collaboration and effective team dynamics.

Qualifications:
Bachelor's degree in Computer Science or a related field. Master's degree preferred.
Proven professional experience in AI solution development, with a strong emphasis on natural language processing, machine learning, and large language models.
Strong proficiency in Python, with experience using relevant libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
Hands-on experience with the RAG technique and its application in real-world scenarios.
Familiarity with Azure AI services is a plus.
Excellent problem-solving abilities and analytical mindset.
Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
Experience working in Agile development methodologies.

Keywords: AI Engineer, Generative AI, Natural Language Processing, Machine Learning, Large Language Models, Python, Scikit-Learn, TensorFlow, PyTorch, RAG, Responsible AI, Azure AI, Agile Development

Keywords: artificial intelligence Maryland
AI Engineer - Generative AI
[email protected]
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Fri Sep 06 22:44:00 UTC 2024

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