AI Model Developer

1 day ago

Vizag, Andhra Pradesh, India beBeeAI Full time ₹ 25,00,000 - ₹ 30,00,000
Job Title: AI Model Developer

Overview:

We are seeking an experienced professional to develop and implement advanced AI models.

Key Responsibilities:

  • Designing and Developing AI Models: Create architectures, algorithms, and frameworks for generative AI and NLP.
  • Implementing AI Models: Build and integrate AI models into existing systems and applications.
  • Working with LLMs and Other AI Technologies: Use tools and techniques like LangChain, Haystack, and prompt engineering.
  • Data Preprocessing and Analysis: Prepare data for use in AI models.
  • Collaborating with Other Teams: Work with data scientists, product managers, and other stakeholders.
  • Testing and Deploying AI Models: Evaluate model performance and deploy them to production environments.
  • Monitoring and Optimizing AI Models: Track model performance, identify issues, and optimize models for better results.
  • Staying Up-to-Date with the Latest Advancements: Learn 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: Understand the principles behind these technologies and how to use them effectively.
  • Experience with RAG Pipelines and Vector Databases: Build and use retrieval-augmented generation pipelines.
  • Familiarity with AI Frameworks and Libraries: Knowledge of frameworks like LangChain, Haystack, and open-source libraries.
  • Understanding of Prompt Engineering and Tokenization: Optimize prompts and manage tokenization.
  • Experience in Integrating and Fine-Tuning AI Models: Deploy and maintain AI models in production environments.
  • Excellent Communication and Problem-Solving Skills: Communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

  • Experience with Cloud Computing Platforms (GCP, AWS, Azure): Deploy and manage AI models.
  • Familiarity with MLOps Practices: Build and deploy AI models in a scalable and reliable manner.
  • Experience with DevOps Practices: Automate the development and deployment of AI models.

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