Generative Ai Engineer
1 semana atrás
Duration : 12+ monthsRate : DOEWe are seeking an experienced professional with 6–8 years of hands-on expertise in Generative AI, AI / ML, and Data Science technologies.The ideal candidate will have a strong background in building production-grade solutions, implementing end-to-end Generative AI projects, and working across cloud ecosystems.Key ResponsibilitiesDesign and implement Generative AI applications using advanced methodologies such as RAG, prompt engineering, embeddings, and fine-tuning.Develop production-grade AI / ML solutions leveraging cloud platforms like GCP Vertex AI, Azure AI, and AWS Bedrock.Work with structured and unstructured data to build RAG-based solutions.Integrate agent frameworks (e.g., Google ADK, LangGraph, CrewAI) into AI workflows.Collaborate with cross-functional teams to ensure API integration, test automation, and adherence to software engineering best practices.Optimize applications for scalability and performance in cloud environments.Required Skills & Experience6–8 years of experience in AI / ML and Data Science, including 2+ years in Generative AI projects.Strong proficiency in Python and frameworks such as Flask and FastAPI.Hands-on experience with deep learning, TensorFlow, and NLP techniques.Expertise in cloud AI services, preferably GCP Vertex AI, and familiarity with Vertex AI Vector Search, Gemini, Cloud Run, and Cloud SQL.Experience with agent-based frameworks like LangChain and LangGraph.Solid understanding of API integration, test automation, and software principles.Excellent teamwork and communication skills.QualificationsBachelor's degree in Computer Science or related field.Proven ability to deliver end-to-end Generative AI solutions in production environments.#J-*****-Ljbffr
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Generative Ai Engineer
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