
Generative AI Model Developer
1 day ago
Job Opportunity: Generative AI Model Developer
About the Role:
We are seeking a skilled Generative AI Model Developer to design and develop cutting-edge generative AI models, integrating Large Language Models (LLMs) such as GPT, LLaMA, and Claude into enterprise applications.
Key Responsibilities:
- Implement prompt engineering techniques, embeddings, and Retrieval Augmented Generation (RAG) pipelines to enhance model performance.
- Collaborate with data scientists and solution architects to deliver Proof of Concepts (PoCs) and production-ready applications.
- Work with vector databases like Pinecone, FAISS, Weaviate, and Milvus to enable semantic search capabilities.
- Deploy solutions on cloud AI platforms such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI, ensuring optimal model performance, latency, and scalability.
- Ensure that AI solutions adhere to responsible AI, data privacy, and security guidelines.
- Maintain and optimize APIs, microservices, and front-end/back-end integrations for GenAI applications.
Requirements:
- Strong programming skills in Python, preferably with experience in APIs, microservices, Flask, FastAPI, and Django.
- Hands-on experience with Azure Databricks and Apache Spark.
- Knowledge of vector embeddings and vector databases.
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
- Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
- Experience working with cloud-based AI services from major providers.
- Strong problem-solving and debugging skills.
- Good to have experience with PyTorch, TensorFlow, and Hugging Face Transformers.
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative team environment.
- Continuous learning and skill development opportunities.
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