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Mid LevelFull-timePythonDockerTensorFlowPyTorchCI/CDAIML
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an Associate Data Scientist to support AI/ML engineering efforts by preparing, validating, and structuring data for LLM-driven systems. This hands-on role focuses on real-world data processing, pipeline support, and model evaluation.
Key Responsibilities
- βProcess and clean structured and unstructured data for AI/ML pipelines
- βPrepare training-ready datasets for LLM fine-tuning and evaluation workflows
- βSupport RAG and NLβSQL systems through data preparation and validation
- βPerform data quality checks and ensure completeness and consistency
- βAssist in building and maintaining data pipelines and APIs
- βCollaborate with engineering teams to troubleshoot and optimize data workflows
Requirements
- β1β3 years of experience in data processing or data-focused roles
- βStrong Python skills with experience in data libraries (Pandas, NumPy, Scikit-learn)
- βExperience supporting LLM workflows (fine-tuning, prompt engineering, evaluation)
- βFamiliarity with structured (SQL) and unstructured text data
- βUnderstanding of data preparation for AI/ML systems
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About Apiphany
Apiphany is a technology company specializing in API management and integration solutions, operating within the software development and enterprise IT sector. The name, derived from "API" and "epiphany," suggests a focus on creating clear insights and solutions for application programming interfaces. While the exact founding date and location are not explicitly stated, the company's domain and name imply a global reach, catering to businesses seeking to streamline their digital infrastructure through robust API strategies. Apiphany positions itself as a bridge between complex technical systems and the practical needs of modern organizations, enabling seamless data flow and connectivity. Apiphany offers a suite of products and services designed to simplify API lifecycle management, including API design, deployment, monitoring, and security. Key features of their platform include real-time analytics, automated documentation, and scalable architecture to support high-traffic applications. The company targets enterprises, startups, and developers who require efficient, secure, and maintainable API solutions to integrate disparate systems, enhance digital experiences, and drive innovation. By providing intuitive tools and expert support, Apiphany helps clients reduce technical debt and accelerate time-to-market for their digital products. Notable achievements for Apiphany include partnerships with leading tech firms and a growing client base across industries such as finance, healthcare, and e-commerce. The company differentiates itself through a unique value proposition that combines cutting-edge technology with a customer-centric approach, ensuring that solutions are tailored to specific business needs. Apiphanyβs market position is strengthened by its commitment to transparency, reliability, and continuous improvement, making it a trusted partner for organizations navigating the complexities of API-driven ecosystems.
