Key Responsibilities:
Manipulate large data sets using statistical computer languages (e.g., Python)
Utilize various machine learning techniques (e.g., clustering, decision trees, neural networks)
Apply deep learning architectures such as RNN, CNN, and LSTM using frameworks like TensorFlow and Keras
Perform natural language processing tasks
Use database technologies (SQL, Oracle, SQL Server, or NoSQL databases)
Leverage AWS services (Athena, Glue, Sagemaker, QuickSight)
Work with OpenSource high-level LLM-frameworks (LangChain, Llama-Index), including evaluation techniques and agentic principles
Engage in modern DevOps strategies and tooling (GitOps)
Collaborate with business users to assess and refine data sources
Evaluate the performance and explainability of machine learning algorithms
Conduct prompt engineering for specific use cases
Monitor and analyze model performance
Qualifications:
Proficiency in Python for data manipulation
Strong knowledge of machine learning and deep learning techniques
Experience with NLP and cloud technologies (AWS)
Familiarity with database systems (SQL, Oracle, NoSQL)
Experience with LLM-frameworks and modern DevOps
Experience in the automotive industry is a plus
Onsite Requirement:
This position requires a minimum of 40% onsite attendance (2 days per week).
If you're passionate about data science and enjoy working in a dynamic environment, we’d love to hear from you! Apply today to join a team where your insights will shape the future of data-driven decisions.
EEO/AA Employer/Vet/Disabled.
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, the Company 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.
AppleOne 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 qualified applicants regardless of criminal histories, consistent with legal requirements. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records. 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.
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