Generative AI Expert

2 weeks ago

Pune, Maharashtra, India MWIDM Staffing Services Full time

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.

(ref:hirist.tech)

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