
AI Model Developer
2 weeks ago
Job Title: AI Model Developer
About the Role:
We are seeking an experienced AI model developer to join our organization. As a key member of our AI engineering team, you will be responsible for designing and developing AI models that drive business value.
Key Responsibilities:
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 preprocessing 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.
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.
What We Offer:
We offer a competitive compensation package and opportunities for professional growth and development.
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