
Generative AI Expert
3 days ago
Hiring: GEN AI Expert for Allinaz . Responsibilities :
- Design, develop, and fine-tune large language models (LLMs) using Hugging
Face Transformers.
- Implement and optimize model parallelism techniques for efficient training and inference.
- Develop and deploy robust and scalable Gen AI applications.
- Build and maintain datasets for model training and evaluation.
- Design and implement ReAct (Reasoning & Acting) agents using LangChain and LangGraph.
- Develop and integrate tools and APIs to enhance agent capabilities.
- Optimize agent performance and ensure reliable decision-making.
- Define and implement metrics for evaluating and validating AI/ML systems.
- Conduct thorough testing and analysis to ensure model accuracy and reliability.
- Implement Explainable AI (XAI) methods to provide insights into model behavior.
- Develop and maintain documentation for model performance and evaluation results.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Provide technical guidance and expertise on Gen AI best practices.
- Stay up-to-date with the latest advancements in Gen AI research and technologies.
- Develop and maintain dynamic interface classes, middleware, and SDKs for other developers (Secondary Skill).
- Apply OPEA (if applicable) to optimize AI/ML workflows and processes.
- Design and develop dynamic interface classes, middleware, and SDKs to enable other developers to effectively utilize AI/ML models and services.
Key Requirements :Primary Skills :
- Hugging
Face Transformers : 3
- years of hands-on experience in using Hugging
Face Transformers for developing and deploying LLMs.
- LangChain (v0.2 & v0.3) : 1
- year of experience in building applications using LangChain, including v0.2 and v0.3.
- LangGraph : 1
- year of experience in building complex AI workflows and agents using LangGraph.
- PyTorch & TensorFlow : 2
- years of experience in developing and training deep learning models using PyTorch and TensorFlow.
- Explainable AI (XAI) Methods : 1
- year of experience in implementing and applying XAI techniques to understand and interpret model behavior.
- Model Parallelism : Must have a strong understanding and practical experience in implementing model parallelism techniques for efficient training and inference.
- Gen AI Model Fine-Tuning : Proven experience in fine-tuning large language models for specific tasks and domains.
- ReAct Agent Development : Demonstrated ability to build and deploy ReAct (Reasoning & Acting) agents using LangChain and LangGraph.
- AI/ML System Evaluation : Experience in defining and implementing metrics for evaluating and validating AI/ML systems.
Secondary Skills (Nice to Have) :
- OPEA : Familiarity with OPEA and its application in optimizing AI/ML workflows.
- Middleware & SDK Development : Experience in writing dynamic interface classes, middleware, and SDKs for developer use.
Qualifications :
- Master's or Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (preferred).
- Proven track record of developing and deploying successful Gen AI solutions.
- Strong understanding of deep learning algorithms and architectures.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
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