GR
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
- Build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure
- Translate product design requirements into pipelines 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 and agile processes, participate in peer code-reviews
- Work with ML engineers/architects to deploy data products into production
- Follow and understand legal data use restrictions
- Contribute to algorithm library development 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 orchestration using ReAct AI agents
- Provide root cause analysis for ML model inference
- Complete data analysis or processing tasks as directed
- Document data product end to end design and development
- Perform data annotation, labeling and other related data generation activities
- Provide thought leadership and mentor junior team members
- Present and hold data product updates and trainings
- Update team on data product performance
Requirements
- BS in Statistics, Mathematics, Computer Science or another quantitative field
- 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 over the last 1-2 years
- Strong problem solving skills with an emphasis on product development
- 6+ years of experience developing data science products
- Strong experience using and optimizing 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)
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques
- Preferred: Experience with Spark/PySpark
- Preferred: Experience analyzing data from Google Knowledge Graph, Wikidata, etc.
- Preferred: Experience with Looker, PowerBI, Tableau
Benefits
- Competitive pay
- Flexible work
- Inclusive, collaborative environment
- Career development that drives efficiency and innovation
- Equal employment opportunities (EEO) and nondiscrimination compliance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
RG
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