Generative AI Engineer - RAG / LLM

Description :

• Responsibilities :
• Design, develop, and implement AI / ML models and algorithms.
• Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
• Write clean, efficient, and well-documented code.
• Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
• Work closely with senior team members to understand project requirements and contribute to technical solutions.
• Troubleshoot and debug AI / ML models and applications.
• Stay up-to-date with the latest advancements in AI / ML.
• Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
• Develop and deploy AI solutions on Google Cloud Platform (GCP).
• Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
• Utilize Vertex AI for model training, deployment, and management.
• Integrate and leverage Google Gemini for specific AI :
• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of experience in developing and implementing AI / ML models.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Good understanding of machine learning concepts and techniques.
• Ability to work independently and as part of a team.
• Strong problem-solving skills.
• Good communication skills.
• Experience with Google Cloud Platform (GCP) is preferred.
• Familiarity with Vertex AI is a plus.

(ref : hirist.tech)