AI Engineer

SnapX Photobooth; On; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

SnapX Photobooth is seeking an AI Solution Engineer to design and implement AI solutions using foundation models and large language models. You will work with customers, product teams, and developers to translate business needs into technical AI implementations.

You will preprocess data, engineer features, develop POCs, and support clients during deployment while staying current with AI advancements and sharing knowledge across the team.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, or related fields.
• A minimum of four years of verified experience in designing and developing AI solutions, focusing on foundation models or large language models.
• Experience with NLP and text analytics is highly valued.
• Strong Python programming skills and familiarity with AI frameworks and cloud platforms.
• Ability to translate client needs into scalable AI solutions.
• Excellent communication and client-facing skills.

Responsabilités

• Design and implement AI/ML solutions leveraging foundation models and LLMs.
• Analyze large datasets, perform preprocessing, and extract insights.
• Create POCs to demonstrate AI solutions for clients.
• Provide technical assistance and guidance during solution deployment.
• Collaborate with engineers, product managers, and stakeholders.
• Document architecture, design decisions, and best practices.
• Stay updated on AI advances and evaluate new tools and frameworks.

Connaissances

NLP

Text analytics

Formation

Bachelor's degree or higher in CS/AI

Outils

Python

TensorFlow

PyTorch

Vector DB

Hugging Face

Llama 2

ChatGPT

AWS

Azure

GCP

Description du poste

Employment Type

Full-Time

Experience Required

4+ years

Job Description

We are seeking a skilled and creative AI Solution Engineer with expertise in foundation models and large language models. Your primary duty will be to design and implement AI solutions leveraging the latest technologies, particularly focusing on foundation and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.

Key Responsibilities

• Design and Development of AI/ML Solutions: Develop and implement AI and machine learning algorithms and models to solve complex problems. This includes data preprocessing, feature engineering, model selection, training, and evaluation
• Data Analysis and Processing: Work with large, complex data sets. Clean, manage, and extract value from these datasets, and understand data needs relevant to the specific AI/ML tasks.
• Developing Proof of Concept (POC): You will be responsible for creating POCs to demonstrate the practicality and effectiveness of our AI solutions. This involves close collaboration with the development team to build and refine POCs, ensuring they meet customer needs and expectations.
• Client Interaction and Technical Assistance: Serve as the go-to technical expert for our clients, addressing their inquiries, issues, and feedback. During the deployment of solutions, you will provide essential technical support and advise on AI best practices and applications
• Collaboration and Cross-functional Teamwork: Collaborate with cross-functional teams, including engineers, product managers, and stakeholders, to understand business needs and deliver effective AI solution
• Creating Documentation and Sharing Expertise: Your role includes documenting the architecture of solutions, design choices, implementation specifics, and key learnings. Produce technical documents, white papers, and guides for best practices. Participate in internal knowledge-sharing programs and guide new team members.
• Monitoring Industry Developments and Innovations: Stay updated with the latest developments in AI, foundation models, and large language models. Assess new technologies, tools, and frameworks for their potential influence on the design and execution of solutions.

Requirements

• Educational Background: Possess a Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or related disciplines.
• Professional Experience: A minimum of four years of verified experience in designing and developing AI solutions, specifically focusing on foundation models, large language models, or comparable technologies. Expertise in natural language processing (NLP) and text analytics is greatly valued
• Technical Abilities: Robust programming capabilities, especially in Python, and familiarity with AI frameworks like TensorFlow, PyTorch, Vector DB, Hugging Face, Llama 2, and ChatGPT, among others. Knowledge of cloud platforms such as AWS, Azure, GCP, and their services is beneficial.
• Solution Development Skills: Proven experience in solution architecture and design, converting business needs into technical specifications, and creating scalable, effective AI solutions.
• Business Understanding: Capable of understanding client requirements and business goals. Experienced in engaging with clients and translating their needs into practical AI applications.
• Interpersonal and Communication Skills: Exceptional ability to interact and communicate effectively. Engage with clients and stakeholders for analysis and execution of projects. Dedication to ongoing learning and keeping up-to-date with AI advancements.