Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field. Strong hands-on experience in Python development. Practical knowledge of AI frameworks and tools, including (e.g., RAG, prompt engineering, fine-tuning, LangChain, Hugging Face Transformers, TensorFlow, or PyTorch). 2+ years of experience as a Software Engineer with a demonstrable focus on AI/ML projects. Familiarity with CI/CD pipelines and MLOps principles, with specific understanding of how they apply to LLMs. Familiarity with cloud-native services on AWS, such as Lambda, Bedrock, Step Functions, OpenSearch, SageMaker, and others, for building and deploying AI solutions. Relevant AWS certifications, such as AWS Certified Machine Learning - Specialty, AWS Certified Data Engineer - Associate, or similar credentials in AI/ML. Familiarity with DevOps practices. Innovation-driven mindset in learning AI technologies. * Familiarity with big data technologies (e.g., Spark, Hadoop), especially in the context of processing large text datasets for LLM training or application.
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