Designing and Developing AI models : This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models : This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies : This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data pre-processing and analysis : This involves preparing data for use in AI models.
Collaborating with other teams : This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models : This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models : This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI : This includes learning about new techniques, models, and frameworks.
Required Skills :
Strong programming skills in Python : Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs : This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases : This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries : This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization : This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models : This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills : This includes the ability to communicate complex technical concepts to non-technical stakeholders.
Optional Skills :
Experience with cloud computing platforms (GCP, AWS, Azure) : This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices : This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices : This can help with automating the development and deployment of AI models.
(ref : hirist.tech)
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Generative Ai Engineer • Delhi, IN
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