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# Data Scientist (AI/ML, Computer Vision, Agentic AI, RAG)

- **Company:** Digital Links Inc
- **Location:** Fort Wayne, IN, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Azure Machine Learning, Search Technologies, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Generative AI, Agentic-AI, Build Management, Scikit Learn, Kubernetes, Performance Monitor, Machine Learning Operations, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-ai-ml-computer-vision-agentic-ai-rag-fort-wayne-in--968c4f5c-768f-47dd-980b-10ccee50b1f4

## About the Role

Data Science, Artificial Intelligence (AI), Computer Vision, Data Science, Artificial Intelligence (AI), Computer Vision, Team Player, Machine Learning, Deep Learning, Use Cases, * Hands-on AI/ML and data science experience with Python (scikit-learn, PyTorch or TensorFlow).

 * Computer vision (OpenCV, CNNs, object detection or similar).
 * Generative AI: LLMs, RAG, embeddings, vector databases.
 * Agentic AI workflows (LangChain, LangGraph or similar frameworks).
 * Strong communication skills, enthusiasm and a team-first personality.

Preferred: cloud ML platforms (AWS, Azure or GCP), MLOps (MLflow, Docker, Kubernetes), utility or energy industry experience.

## Description

We are looking for a hands-on Data Scientist to design, build and deploy AI/ML solutions, including computer vision models, agentic AI workflows and retrieval-augmented generation (RAG) applications. The right person brings solid hands-on experience, strong enthusiasm for AI, and a collaborative, positive personality.

Responsibilities

 * Build, train and evaluate machine learning and deep learning models for business use cases.
 * Develop computer vision solutions (image/video classification, object detection, OCR or inspection use cases).
 * Design agentic AI workflows and LLM-based applications using RAG, embeddings and vector search.
 * Prepare and analyze data, engineer features, and communicate results to technical and business stakeholders.
 * Deploy models to production and monitor performance with MLOps practices.
 * Work closely with engineering and business teams in an Agile environment.