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# AI/ML Engineer

- **Company:** Sagarsoft Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Computer Vision, Confluence, Cloud Engineering, Continuous Integration, Data Cleansing, Information Extraction, Python (Programming Language), Machine Learning, NoSQL, Search Technologies, Microsoft SharePoint, Software Engineering, SQL Databases, Management of Software Versions, Google Cloud, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Model Validation, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Drift Detection, Restful APIs, Intelligent Document Processing, Data Pipelines, Microservices
- **Published:** October 21, 2026
- **Apply:** https://www.dice.com/job-detail/0d94b69a-2030-4ac2-bd5e-5f728e00d9fb

## About the Role

· Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

· 8+ years in software engineering, data science, or ML, including at least one complete AI/ML lifecycle delivered to production.

· Strong foundation in statistics, probability, linear algebra, optimization, and model evaluation.

· Tech stack will be a combo of onprem tooling like dbs, confluence, sharepoint, and Google Cloud Platform services

· Hands-on model development in Python with standard ML libraries, plus experience with NLP, embeddings, RAG, LLMs, VLMs, or document intelligence.

· Solid grasp of data preparation, feature engineering, class imbalance, leakage prevention, and tuning.

· Experience with MLOps, containerization, model registries, and secure REST APIs and microservices.

· Ability to work within financial-services constraints around privacy, model risk, explainability, and auditability.

· Proven mentoring ability and strong communication with technical and non-technical audiences in Agile, distributed teams.

Preferred

· Cloud-native architecture, Kubernetes, and enterprise CI/CD.

· OCR and Intelligent Document Processing.

· Retrieval and grounding solutions built without relying on pre-packaged frameworks.

· SQL/NoSQL, vector search, and data pipelines.

· Financial services or other regulated-industry background.

## Description

We are seeking a hands-on AI/ML Engineer to design, build, deploy, and operate enterprise-grade AI/ML and GenAI solutions that improve automation, decisioning, and processing at scale. This role requires building and training fit-for-purpose models in a controlled financial-services environment with limited access to public models and external services, not just configuring third-party tools. The contractor will also mentor existing engineers to strengthen the team's AI/ML capability.

What You'll Do

· Own end-to-end delivery of production AI/ML solutions, from problem framing and data analysis through modeling, deployment, monitoring, and retraining.

· Build, train, and validate models (supervised, unsupervised, NLP, retrieval, document intelligence, computer vision, GenAI) using approved data and platforms.

· Establish rigorous evaluation, explainability, bias assessment, and model governance practices suited to a regulated environment.

· Implement MLOps for versioning, CI/CD, deployment, observability, and drift detection.

· Develop secure APIs and integration patterns, partnering with architecture, engineering, data, risk, and cybersecurity teams.

· Take prototypes to scalable production and produce clear documentation, runbooks, and knowledge-transfer materials.

· Mentor developers through design reviews, pairing, and workshops.