Generative AI Applications-Principal Machine Learning Engineer


Depends on Experience
Contract - Independent
Contract - W2


data pipeline
workflow management

Job Details

Urgently Looking for Sr. Machine Learning Engineer, Generative AI Applications

Required Skills and Qualifications:

  • Minimum of seven years’ post-secondary education or relevant work experience
  • Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
  • Minimum of five years’ software development experience with Python and SQL.
  • Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
  • Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
  • Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
  • Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
  • Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
  • Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
  • Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; (AWS).
  • Knowledge of data pipeline and workflow management tools.
  • Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.