Description

You will build, train, and maintain large language models and generative AI applications within an AWS environment.

Responsibilities

• Train and maintain large language models and GenAI applications using prompt engineering and fine-tuning techniques.
• Develop and deploy AI models using frameworks like TensorFlow, Keras, Torch, or scikit-learn.
• Manage data infrastructure and VectorDBs to support training pipelines and production applications.
• Integrate AI solutions into production-grade environments using DevOps and DevSecOps practices.
• Present technical findings and project updates to both technical and business audiences.

Required Skills

• 5+ years of experience in AI/Machine Learning development.
• Proficiency in Python, R, Scala, or Spark.
• Hands-on experience with AWS and AWS SageMaker.
• Direct experience with GenAI technology stacks, including prompt engineering and guardrails.
• Practical knowledge of NLP, sentiment analysis, classification, or pattern recognition.
• Experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, or Torch.
• Working knowledge of VectorDBs and data infrastructure for generative AI.
• Experience with Agile Software Development Lifecycles and DevOps.
• Ability to support production-grade integration and maintenance.

Key Skills

Education

Any Graduate