Lummus Technology

Senior AI Engineer

Lummus Technology

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Senior

Tech Stack

AzureCloudNoSQLNumpyPandasPythonPyTorchSparkSQLTensorflow

About the role

  • Partner directly with business and engineering leaders to understand their core challenges and translate those needs into technical specifications for AI solutions.
  • Design, build, train, and deploy a wide range of machine learning and generative AI models to solve complex problems.
  • Develop and manage the data pipelines required for our AI systems, ensuring data quality and readiness for model training and inference.
  • Integrate AI models into existing Lummus business applications and workflows using APIs and other services to create seamless user experiences.
  • Fine-tune and evaluate large language models (LLMs) and vision models on our proprietary data, with a focus on performance, accuracy, and IP security.
  • Own the full lifecycle of AI applications, from initial prototyping and experimentation to deployment, monitoring, and continuous improvement.
  • Foster innovation by researching new techniques and technologies to stay at the forefront of the rapidly evolving AI landscape.

Requirements

  • Bachelor’s degree in Computer Engineering or other engineering discipline, Mathematics, Data Science, or a relevant field.
  • Minimum 8 years of experience in computer or software engineering.
  • Proficiency in Python and its data science ecosystem (Pandas, NumPy, others).
  • Strong experience with ML frameworks such as PyTorch or TensorFlow.
  • Strong experience building modern GenAI stacks.
  • Experience in processing engineering, chemical, or related industries.
  • Experience with advanced agentic concepts like multi-agent systems or complex planning techniques.
  • Expertise with our key partner platforms, including Microsoft Azure, Databricks, or Google Cloud (Vertex AI).
  • Experience with big data technologies (like Spark) and a strong understanding of both SQL and NoSQL databases.
  • Ability to drive change management around AI.
  • Ability to communicate well about complex topics.
  • Strong verbal and written communication skills.
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