Generative AI Engineer
Há 3 dias
Job Overview
We're seeking a talented Generative AI Engineer to join our innovative team in the automotive sector. As a key member of our team, you'll be responsible for developing and optimizing AI models that transform the way we interact with technology.
Your Role:
- Develop, fine-tune, and deploy Generative AI models using AWS services like Bedrock, SageMaker, and Lambda.
- Harness the power of LLMs, embeddings, transformers, and diffusion models for NLP, image generation, and AI automation applications.
- Enhance prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF) techniques.
- Build and maintain scalable MLOps pipelines using SageMaker, ECS, and Kubernetes.
- Process and manage large-scale datasets for AI training with AWS Glue, Athena, and Redshift.
- Implement efficient retrieval-augmented generation (RAG) applications using vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch).
- Design and optimize ETL pipelines for AI/ML data workflows.
- Collaborate with software engineers, DevOps, and product teams to integrate AI models into applications and APIs.
- Ensure security, compliance, and data privacy in AI/ML workflows.
- Monitor AI model performance and manage retraining needs with AWS CloudWatch, MLFlow, and other observability tools.
Requirements:
- Strong background in Data Science, Machine Learning, and Generative AI - Min 5 years.
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
- Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and Comprehend.
- Hands-on experience with LLMs, embeddings, transformers, and diffusion models.
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.
- Expertise in MLOps, containerization (Docker, Kubernetes, ECS), and CI/CD for ML pipelines.
- Solid understanding of cloud optimization, distributed computing, and model scaling.
- Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark.
- Knowledge of NLP, image generation models, or multimodal AI solutions.
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