AI Specialist LLM
Details:
Job Description
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.Hidalgo@stefanini.com 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.
• Perform in-depth data analysis to extract meaningful insights and guide model development.
• Collaborate with data engineers and other stakeholders to streamline data collection and preprocessing.
• LLM Selection:
• Evaluate various large language models and architectures to determine the best fit for specific applications.
• Stay up-to-date with advancements in LLM technologies and make recommendations for integration.
• LLM Training:
• Develop training protocols and pipelines for LLMs using state-of-the-art techniques.
• Implement robust training methodologies to optimize model performance and efficiency.
• Work closely with machine learning engineers to deploy models in a scalable and reliable manner.
• LLM Tuning:
• Fine-tune LLMs to improve accuracy, reduce biases, and enhance contextual understanding.
• Conduct experiments to assess model adjustments and iterate on improvements.
• Monitor and report on model performance, making data-driven decisions to refine tuning strategies.
• Collaboration and Communication:
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Present findings and recommendations to technical and non-technical stakeholders.
• Document processes, methodologies, and results for knowledge sharing and future reference.
Job Requirements
Details:
• Certification or degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience with large language models, including training and tuning.
• Strong programming skills in Python and experience with AI frameworks such as TensorFlow, PyTorch, or similar.
• Excellent analytical skills and the ability to interpret complex data sets.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
• Strong problem-solving abilities and a proactive approach to identifying innovative solutions.
• Excellent communication skills and the ability to work effectively in a team-oriented environment.
Details:
Job Description
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.Hidalgo@stefanini.com 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.
• Perform in-depth data analysis to extract meaningful insights and guide model development.
• Collaborate with data engineers and other stakeholders to streamline data collection and preprocessing.
• LLM Selection:
• Evaluate various large language models and architectures to determine the best fit for specific applications.
• Stay up-to-date with advancements in LLM technologies and make recommendations for integration.
• LLM Training:
• Develop training protocols and pipelines for LLMs using state-of-the-art techniques.
• Implement robust training methodologies to optimize model performance and efficiency.
• Work closely with machine learning engineers to deploy models in a scalable and reliable manner.
• LLM Tuning:
• Fine-tune LLMs to improve accuracy, reduce biases, and enhance contextual understanding.
• Conduct experiments to assess model adjustments and iterate on improvements.
• Monitor and report on model performance, making data-driven decisions to refine tuning strategies.
• Collaboration and Communication:
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Present findings and recommendations to technical and non-technical stakeholders.
• Document processes, methodologies, and results for knowledge sharing and future reference.
Job Requirements
Details:
• Certification or degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience with large language models, including training and tuning.
• Strong programming skills in Python and experience with AI frameworks such as TensorFlow, PyTorch, or similar.
• Excellent analytical skills and the ability to interpret complex data sets.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
• Strong problem-solving abilities and a proactive approach to identifying innovative solutions.
• Excellent communication skills and the ability to work effectively in a team-oriented environment.
