AI Model Specialist

1 week ago


Thiruvananthapuram, Kerala, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:Sr. AI Model DeveloperAbout the Role:We are seeking a skilled and experienced Sr. AI Model Developer to join our organization.Key Responsibilities:
  • AI Model Design: Create architectures, algorithms, and frameworks for generative AI, leveraging tools like document intelligence, AI search, and LangChain.
  • Model Implementation: Build and integrate AI models into existing systems and applications, using Python as the primary language.
  • LLMs and Other AI Technologies: Utilize techniques like chunking and embedding, prompting, and evaluation frameworks using LLMs.
  • Data Preparation: Prepare data for use in AI models, ensuring high-quality inputs for optimal model performance.
  • Collaboration and Communication: Work closely with data scientists, product managers, and other stakeholders to ensure seamless project execution.
  • Testing and Deployment: Evaluate model performance, deploy models to production environments, and monitor their effectiveness.
  • Professional Development: Stay current with the latest advancements in Generative AI, learning about new techniques, models, and frameworks.
Requirements:
  • Python Programming Skills: Proficiency in Python is essential for AI development.
  • Generative AI, NLP, and LLMs: Understand the principles behind these technologies and how to apply them effectively.
  • RAG Pipelines and Vector Databases: Familiarity with building and utilizing retrieval-augmented generation pipelines.
  • AI Frameworks and Libraries: Knowledge of frameworks like LangChain, Haystack, and open-source libraries.
  • Prompt Engineering and Tokenization: Understanding of optimizing prompts and managing tokenization.
  • AI Model Integration and Fine-Tuning: Knowledge of deploying and maintaining AI models in production environments.
  • Communication and Problem-Solving Skills: Ability to communicate complex technical concepts to non-technical stakeholders.
Optional Requirements:
  • Cloud Computing Platforms: Experience with cloud computing platforms can be beneficial for deploying and managing AI models.
  • MLOps Practices: Familiarity with MLOps practices can help with building and deploying AI models in a scalable and reliable manner.
  • DevOps Practices: Experience with DevOps practices can aid in automating the development and deployment of AI models.

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