Description

You will build and scale generative AI applications and deploy machine learning models.

Responsibilities

• Build and scale generative AI applications using frameworks such as Langchain, PGVector, or Pinecone.
• Develop and deploy machine learning models using AzureML.
• Design scalable services and controller architectures using FastAPI for internal and external model evaluation endpoints.
• Implement model development workflows using CoreNLP and other NLP libraries.

Required Skills

• 5+ years of experience in data or machine learning engineering.
• Hands-on experience with model deployment and AzureML.
• Proficiency in building GenAI applications with Langchain, PGVector, or Pinecone.
• Experience with Spark, MLlib, Tensorflow, or PyTorch.
• In-depth model development experience using Keras, scikit-learn, spaCy, gensim, or CoreNLP.
• Ability to develop APIs using FastAPI.
• BS degree in Computer Science, Software Engineering, or Electrical Engineering.

Key Skills

Education

Any Graduate