GenAI Engineer

2 weeks ago

Bengaluru, Karnataka, India Naukri E Hire Campaign Full time US$ 1,20,000 - US$ 2,00,000 per year

**EXCELRA IS HIRING FOR GENAI ENGINEER - REMOTE LOCATION - APPLY NOW

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.
  • 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.

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