Stefanini Group is looking for
AI Specialist LLM for a globally recognized company!
For interested applicants, click the apply button or you may reach out to
Alfher Hidalgo at (248) 728-2627/Alfher[email protected] for faster processing. Thank you!
About Us: Our client is at the forefront of innovation, leveraging cutting-edge technology to transform the way they harness data and artificial intelligence. We are committed to pushing the boundaries of what's possible and are seeking a talented Generative AI Specialist to join our dynamic team.
Job Description: We are looking for a skilled Generative AI Specialist to lead initiatives in data review, data analysis, and the selection, training, and tuning of Large Language Models (LLMs). The ideal candidate will have a deep understanding of AI model architectures and a passion for developing intelligent solutions that drive business success.
Key Responsibilities:
Data Review and Analysis:-
Conduct comprehensive data reviews to ensure data quality and relevance for AI model training.
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Perform in-depth data analysis to extract meaningful insights and guide model development.
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Collaborate with data engineers and other stakeholders to streamline data collection and preprocessing.
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LLM Selection:
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Evaluate various large language models and architectures to determine the best fit for specific applications.
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Stay up-to-date with advancements in LLM technologies and make recommendations for integration.
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LLM Training:
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Develop training protocols and pipelines for LLMs using state-of-the-art techniques.
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Implement robust training methodologies to optimize model performance and efficiency.
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Work closely with machine learning engineers to deploy models in a scalable and reliable manner.
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LLM Tuning:
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Fine-tune LLMs to improve accuracy, reduce biases, and enhance contextual understanding.
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Conduct experiments to assess model adjustments and iterate on improvements.
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Monitor and report on model performance, making data-driven decisions to refine tuning strategies.
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Collaboration and Communication:
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Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
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Present findings and recommendations to technical and non-technical stakeholders.
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Document processes, methodologies, and results for knowledge sharing and future reference.
- Certification or degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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Proven experience with large language models, including training and tuning.
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Strong programming skills in Python and experience with AI frameworks such as TensorFlow, PyTorch, or similar.
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Excellent analytical skills and the ability to interpret complex data sets.
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Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
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Strong problem-solving abilities and a proactive approach to identifying innovative solutions.
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Excellent communication skills and the ability to work effectively in a team-oriented environment.
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