Description

You will design, train, and maintain large language models and generative AI applications within an AWS environment. You own the full lifecycle from data infrastructure to production-grade integrations.

Responsibilities

• Train and maintain large language models and generative AI applications.
• Develop and support production-grade integrations and AI pipelines.
• Implement GenAI technology stacks, including prompt engineering, guardrails, and LLM fine-tuning.
• Manage VectorDBs and data infrastructure to support training and production workloads.
• Present technical findings and project updates to both technical and business audiences.

Required Skills

• 5+ years of experience in AI/ML development.
• Proficiency in Python, R, Scala, or Spark.
• Hands-on experience with AWS and AWS SageMaker.
• Experience with AI frameworks such as TensorFlow, scikit-learn, Keras, Torch, Microsoft CNTK, Caffe, or Gluon.
• Practical knowledge of NLP, sentiment analysis, classification, or pattern recognition.
• Experience with VectorDBs and data infrastructure for GenAI.
• Familiarity with GenAI frameworks, prompt engineering, and LLM fine-tuning.
• Experience working within Agile SDLC and DevOps/DevSecOps workflows.

Preferred Skills

• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree