Location: Bridgewater Township, New Jersey , NJ 08807 (onsite))
Duration: Long Term Contract
Must have : GCP , Gen AI , LLM , Big Query, Dataflow, Cloud Storage, Vertex AI,
Lead the design, architecture, and implementation of data pipelines and systems on Google Cloud Platform. This includes leveraging services like BigQuery, Dataflow, Cloud Storage, Vertex AI, and others for efficient data ingestion, transformation, and storage.
Develop and implement Retrieval-Augmented Generation (RAG) techniques. Build solutions that seamlessly combine knowledge retrieval with generative AI models, ensuring accurate and relevant outputs.
Develop and implement prompt engineering strategies for maximizing the performance of LLMs. Focus on ensuring accuracy, relevance, and creative output from large language models.
Collaborate with data scientists, engineers, and business stakeholders. Understand their requirements and translate them into robust and scalable AI solutions.
Evaluate and select appropriate Generative AI models and architectures. Choose from models like BERT, GPT-3, PaLM based on project needs and performance requirements.
Stay up-to-date on the latest advancements in Generative AI and RAG. Ensure our solutions are cutting-edge and effective.
Contribute to the development of best practices and standards for building secure, reliable, and scalable AI systems on Google Cloud Platform.
Mentor and guide junior engineers in the team. Foster their knowledge and expertise in data engineering and Generative AI.
Familiarity with NLP concepts and techniques. Understanding of natural language processing and its applications in AI.
Experience with cloud-native architectures and DevOps principles.
Relevant certifications in Google Cloud Platform or Generative AI technologies.
Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams.
Passion for learning and staying up-to-date with the latest advancements in Generative AI.
Experience with application development is a plus.