9 часов назад
Data Scientist II (AI/ML)
82 574 - 127 490$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II (AI/ML) (Machine Learning, LLMs, RAG): Designing, building, and deploying production machine learning models and data products for enterprise initiatives with an accent on feature engineering, NLP, cloud-based ML platforms, and scalable integrations. Focus on developing LLM and retrieval-augmented generation solutions, integrating models through APIs and pipelines, and validating reliable, reproducible outputs.
Location: Remote in the USA or hybrid in Irvine, California
Salary: $82,574–$127,490 per year
Company
provides risk management solutions for workers’ compensation, auto, health, and disability management industries.
What you will do
- Design, build, train, deploy, and manage machine learning models and production data products.
- Mine internal data, create data collection frameworks, automate data collection, and perform feature engineering and exploratory analysis.
- Develop and evaluate classification, regression, NLP, optimization, and other machine learning solutions.
- Build model outputs, APIs, pipelines, and downstream integrations with engineering teams.
- Support LLM, retrieval-augmented generation, hybrid modeling, and cloud ML use cases.
- Validate, test, document, and communicate model behavior, assumptions, and results throughout the SDLC.
Requirements
- Bachelor’s degree in computer science, data science, engineering, mathematics, or a related technical field; a master’s degree is preferred.
- 2–5+ years of experience in data science, machine learning, or related roles.
- Production experience building and deploying machine learning models.
- Strong knowledge of machine learning, statistical modeling, data science techniques, and model evaluation.
- Proficiency in Python and SQL, with familiarity with data pipelines, APIs, and integration patterns.
- Experience with Azure Machine Learning, AWS SageMaker, or similar cloud ML platforms.
Nice to have
- Experience with Azure OpenAI, AWS Bedrock, or similar AI platforms.
- Enterprise software experience and familiarity with software development lifecycle practices.
- Master’s degree in a related technical field.
Culture & Benefits
- Full-time regular employees receive medical, dental, vision, life, disability, accident, and critical illness insurance.
- Benefits include HSA, FSA options, 401(k), Roth 401(k), paid time off, and parking and transit FSA accounts.
- Work is available remotely or through a hybrid arrangement.
- operates as a publicly traded company with more than 4,000 employees across the United States.
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