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About
You will be responsible for the end-to-end lifecycle of machine learning models-from initial research and RAG architecture design to deploying scalable solutions within our AWS and Databricks ecosystem. The ideal candidate isn't just a coder, but a technical translator who can turn unstructured data into actionable insights and explain the "how" and "why" to our stakeholders.
Key Responsibilities Architect & Deploy: Design, build, and maintain production-grade ML models and Generative AI applications (LLMs) using RAG architectures.
Unstructured Data Mastery: Develop "Document AI" pipelines to extract, process, and analyze complex insights from large-scale unstructured datasets.
Cross-Functional Collaboration: Partner with non-technical stakeholders to identify business pain points and engineer technical AI solutions that drive value.
Scale & Optimize: Leverage AWS (SageMaker/Bedrock) and Databricks to ensure models are performant, scalable, and integrated into the broader tech stack.
Lead Innovation: Stay at the forefront of ML frameworks (PyTorch, TensorFlow, Hugging Face) to continuously improve our internal modeling standards.
What You Bring Advanced Academic Background: A Master's degree in a quantitative field (Data Science, CS, Stats, etc.).
Industry Expertise: 4+ years of professional experience in DS/ML roles with a proven track record of moving models out of the "sandbox" and into production.
Technical Versatility: Deep Python expertise, SQL fluency, and experience with statistical languages (like R or SparklyR).
Cloud & Tooling Savvy: Hands-on experience with AWS AI/ML services; familiarity with Starburst and Databricks is a significant plus.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here: https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
IN HOUSE
Branch Phone:
(909) 244-1777
Location:
Ontario, CA
Languages
- English
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