AI/ML Engineer

Responsibilities:

• Hands-on experience on Azure/AWS GenAI models and services
• Must have a good understanding and experience in advanced machine learning algorithms, deep
  learning, statistics, and large language models (LLM).
• Good experience with LLMs like OpenAI, Llama2, etc
• Good understanding & experience of frameworks like Langchain, and Llamaindex, which are used to build Gen Al solutions
• Python (intermediate level atleast) , Numpy, Pandas, Scikit learn, Model deployment ,Feature
  engineering, data pre-processing, Kubernetes , Docker, Github
• Good to have-
  1. Deep learning, ML Ops: ML Flow/Kubeflow
  2. Experience on Cloud Platforms both AWS and Azure

Mandatory skill sets:

Python/ PySpark, Machine Learning, Prompt Engineering, Docker, LLM/ Llama2/ Hugging Face, TensorFlow/PyTorch/Keras

Preferred skill sets:

Deep learning, ML Ops, ML Flow/Kubeflow, Azure Cognitive Services, AWS

Years of experience required:

4 to 8 years