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Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
About the role
- Design, develop, and deploy AI solutions to automate expense and invoice management processes and solve complex optimization problems
- Build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure
- Translate product design requirements into pipeline of heuristic and stochastic algorithms
- Perform exploratory data analysis for product feasibility studies and ground truth testing
- Execute SQL queries and/or python scripts to manipulate, analyze and visualize data
- Implement explainable AI solutions and rationalize model inferences
- Follow SDLC processes, adopt agile-based processes/meetings and peer code-reviews
- Work with machine learning engineer/architect to deploy data products into production
- Follow and understand legal data use restrictions
- Contribute to algorithm library development and design for ML, NLP and XAI
- Deliver product pipelines for deployment to production
- Build applications that integrate third party and self-hosted foundation models
- Fine tune open source foundation models (LLMs, VLMs) with proprietary data
- Develop autonomous AI inference and tool use orchestration using ReAct AI agents
- Provide root cause analysis for machine learning model inference
- Complete data analysis or processing tasks as directed and document data product end to end design and development
- Perform data annotation, labeling and other related data generation activities
- Provide thought leadership, present data product updates and trainings, mentor and lead others as project lead
Requirements
- BS in Statistics, Mathematics, Computer Science or another quantitative field (Graduate degree preferred)
- At least 6 years experience manipulating data sets and building GLM/regression models, ensemble decision trees and neural networks
- Demonstrated hands-on experience with foundation models, GenAI and agents (1-2 years ideal)
- 6+ years of experience developing data science products
- Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib
- Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets
- Hands-on generative AI development Experience using foundation models (LLMs, VLMs)
- Experience with model fine tuning of open source foundation models with proprietary data
- Experience leveraging AI metrics for monitoring and value tracking
- Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries
- Deep knowledge of data science concepts and related product development lifecycle
- Working knowledge of machine learning tuning optimization procedures
- Experience working with and creating data architectures
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
- Excellent written and verbal communication skills for coordinating across teams
- A drive to learn and master new technologies and techniques
- Preferred: Experience with big data analytical frameworks such as Spark/PySpark
- Preferred: Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc.
- Preferred: Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.
Benefits
- A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize their finance operations.
- A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real-world challenges.
- A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success.
- A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making for businesses everywhere.
- Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
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RG
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