Qbase

Senior AI/ML Engineering Architect (Open to Remote)

Qbase$175K — $215K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Hands-on experience with LLM and SLM application development.
  • Production experience with end-to-end NLP systems.
  • Strong foundation in applied deep learning and Bayesian statistics.
  • Proficient in Python, with additional languages a plus.
  • Familiarity with key libraries and tools like PyTorch and Hugging Face Transformers.
  • Experience with relational and graph databases.
  • 5+ years in building commercial software products.

Responsibilities

  • Lead the deployment of large language models in production applications.
  • Construct AI applications utilizing agentic AI and retrieval-augmented generation.
  • Design and evaluate machine learning models for text analytics tasks.
  • Develop solutions from proof of concept to feature delivery.
  • Collaborate with product teams in an Agile environment to communicate updates.

Benefits

  • Remote work considered for increased flexibility.
  • Opportunity to work on cutting-edge generative AI and machine learning products.
  • Engagement with multidisciplinary teams and stakeholders.
  • Role in shaping significant AI applications with high impact.
Full Job Description
Senior AI/ML Engineering Architect

Location: Washington, DC Metro Area (Preferred) | Remote Considered

Clearance: Not required

Compensation: $175,000 - $215,000 base salary

The Role

The systems you'll build here are the engine behind that mission. You'll join the team building Finch AI's next generation of products, helping design and build the generative AI, NLP, and machine learning systems behind them end to end - from design through production deployment. As a technical leader in generative AI and large language models, you'll help set direction on how LLMs and SLMs are applied across the product line.

Responsibilities

  • Lead the evaluation, fine-tuning, and deployment of large language models (LLMs) and small language models (SLMs) in production applications.
  • Build AI-enabled applications using agentic AI, retrieval-augmented generation (RAG), and prompt engineering.
  • Design, develop, and evaluate machine learning models for text analytics - extraction, disambiguation, classification - including custom algorithm development where off-the-shelf approaches fall short.
  • Carry solution designs from proof of concept and prototype through to shipped features in existing products.
  • Partner with product teams and stakeholders in an Agile environment, communicating clearly with technical and non-technical audiences.


Requirements

  • Hands-on experience building and deploying LLM and SLM applications: agentic AI, RAG, prompt engineering, and fine-tuning.
  • Production experience with NLP systems for classification, entity extraction, and information extraction, covering the full lifecycle - collecting and preparing training data, training supervised and unsupervised models, tuning hyperparameters, and analyzing model errors.
  • Applied deep learning for NLP, plus strong working knowledge of Bayesian statistics, statistical analysis, and predictive modeling.
  • Strong Python skills; a second language such as Java, Go, or C++ is a plus.
  • Working familiarity with LangGraph, PyTorch, Hugging Face Transformers, spaCy, scikit-learn, NumPy, Pandas, and Jupyter.
  • Experience with SQL, NoSQL, and graph databases.
  • 5+ years of experience building commercial software products.
  • MS or PhD in Computer Science or a related field, or equivalent practical experience (Bachelor's degree minimum).


Preferred

  • Experience in national security domains.
  • Previous TS/SCI w/ Polygraph a plus.


Pay Range: $170,000 - $215,000 per hour

About Qbase

Qbase is a software company that provides data management and analytics solutions to businesses and government agencies. The company's products and services include data warehousing, data integration, data analytics, and data visualization. Qbase serves clients in a variety of industries, including healthcare, finance, and government. The company was founded in 1994 and is headquartered in Beachwood, Ohio.
Learn more about Qbase
Size
200 employees
Industry
Founded
2005

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