Description

You will design, build, and scale generative AI applications and machine learning services.

Responsibilities

• Build and scale GenAI applications using Langchain, PGVector, and Pinecone.
• Develop and deploy models using AzureML and FastAPI for internal and external endpoints.
• Design scalable service controller architectures to evaluate developed models.
• Implement machine learning workflows using Spark, MLlib, Keras, TensorFlow, or PyTorch.
• Apply NLP techniques using CoreNLP, spaCy, or Gensim.

Required Skills

• 5+ years of experience in software or data engineering.
• Bachelor's degree in Computer Science, Software, or Electrical Engineering.
• Proven experience in Model Deployment and GenAI frameworks.
• Proficiency in Python and FastAPI for API development.
• Hands-on experience with AzureML.
• Experience with Spark, MLlib, Keras, TensorFlow, or PyTorch.
• Experience with scikit-learn, spaCy, Gensim, or CoreNLP.
• Knowledge of GenAI, Spark, Kotlin, and AWS.

Key Skills

Education

Bachelor's degree in Computer Science