As an AI Implementation Intern at Apache, you will be responsible for working with executive and operational leaders to understand what they need, then collaborating with the Business Intelligence team to build in-house systems and tools that meet those needs. The work uses large language models (LLMs), cloud services and company data to turn a leader's problem into a working tool.
Responsibilities
Meeting with executive and operational leaders to understand their needs and the problems they want to solve
Working with the Business Intelligence team to design and build in-house systems and tools that meet those needs
Writing and testing prompts for LLMs and building AI tools that automate routine tasks
Managing code in GitHub and supporting cloud deployment of tools and databases
Collaborating with team members, leaders, and other departments
Requirements
Pursuing or holding a bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or a related field, or equivalent hands-on experience
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse) pour des clients de secteurs variés.
Responsibilities
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse)
Définir les modèles de données, les flux d’intégration et les standards d’architecture permettant de répondre aux besoins métiers et analytiques
Accompagner les clients dans leurs programmes de modernisation et de migration vers le Cloud
Participer à la définition des stratégies Data et des feuilles de route de transformation
Garantir la performance, la scalabilité, la sécurité et la qualité des plateformes de données
Nous recherchons un Expert Manager en Intelligence Artificielle (IA) et Data Science pour gérer et réaliser des projets de conseil et d'implémentation autour de l'IA et de l'Intelligence Générative (GenAI).
Responsibilities
Gérer et réaliser des projets de conseil en AI et Data Science.
Concevoir, développer et implémenter des solutions AI et GenAI.
Collaborer avec les clients pour comprendre leurs besoins et traduire ces besoins en solutions techniques.
Assurer la gestion de projet, y compris la planification, l'exécution et le suivi de la performance.
Encadrer et former les membres de l'équipe sur les meilleures pratiques en AI et Data Science.
The base salary range is $161,000 - $182,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits.
Responsibilities
Train model for quantization and pruning
Understand how backpropagation of training
Verify models for accuracy
Modify pytorch code to model Ambarella SoC
Create scripts and utilities for data preprocessing, model training, validation and inference
Requirements
BS in Computer Science, Electrical Engineering, or a related field
Nice to have: MS in Computer Science or related fields
Nice to have: industry experience in related field
Nice to have: compression techniques like QAT, pruning
Nice to have: containerization techniques like docker
Designing and implementing video compression, image processing, vector computation, and flexible compute systems optimized for future AI agents and large language model inference—alongside processor cores and memory subsystems using System Verilog.
Compensation
The base salary range is $135,000 - $170,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits.
Responsibilities
Designing and implementing video compression, image processing, vector computation, and flexible compute systems optimized for future AI agents and large language model inference—alongside processor cores and memory subsystems using System Verilog
Logic design, implementation, and verification using Verilog, System Verilog, and any required programming and scripting languages
Synthesize and optimize RTL for timing, area, and power
Explore micro-architecture and architectural tradeoffs via quick modelling using scripting languages such as python, Perl etc
Developing unit level test environments and test cases
Requirements
Master’s degree in electrical/Electronics/Computer Engineering
The Supply Chain and Procurement intern will support Hypertherm Associates’ Waterjet business through two project-based assignments focused on inventory optimization and practical applications of agentic AI.
Compensation
$0.00-$0.00 Hourly
Responsibilities
Analyze business data, improve decision-making, and develop repeatable tools
Work with Procurement, Planning, Engineering, Quality, Operations, Finance, and other stakeholders
Inventory segmentation and replenishment recommendation
Develop two agentic AI prototypes with documented assumptions and limitations
Source appendices, test cases, output templates, and human-review requirements
Requirements
Bachelor’s or master’s degree in Supply Chain Management