Generative AI Specialist
At a glance
Mid-level AI Engineering role at Inetum. Lisbon · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build GenAI applications independently, then implement the solutions
- Present completed products to stakeholders and prospective clients
- Connect generative AI systems with cloud infrastructure, including Azure services
- Deploy language and embedding models, using Azure Cognitive Search for vector storage
What you bring
- You have hands-on machine learning and generative AI experience
- You can develop in Python and use relevant libraries
- You know Azure AI, language models and tools such as LangChain or Azure Document Intelligence
- You have deployed models with Azure ML, CI/CD pipelines and content-safety safeguards
Who this fits
This mid-level, onsite Lisbon role suits someone who can develop generative AI applications independently and present the results to stakeholders or potential clients. It calls for strong leadership and communication, along with experience across AI, cloud deployment and text analytics.
From the employer
Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.
Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.
Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.
🌟 We're Hiring: Generative AI Specialist – Azure Ecosystem | Inetum 🌟
Are you passionate about cutting-edge AI technologies and cloud-based solutions? Inetum is looking for a Generative AI Specialist to lead the development of innovative applications using Large Language Models and Azure AI services.
🎯 Deliverables:
- Autonomous development of GenAI-based applications.
- Presentation of final product to stakeholders and potential clients.
- Implementation of solutions.
- Proven experience in Machine Learning and Generative AI.
- Strong leadership and communication skills.
- Advanced knowledge of integrating Generative AI with cloud infrastructures.
- Ability to perform statistical inference and generate textual content.
Technical Expertise:
- Programming: Proficiency in Python and relevant libraries.
- Generative AI & LLMs: Experience with GPT-4o, GPT-35, Azure OpenAI, LangChain, and Azure Document Intelligence.
- Model Deployment: Hands-on experience with Azure ML, CI/CD pipelines, and content safety guardrails.
- Text Analytics: NLP techniques and semantic search algorithms.
- Azure Cloud Services: Deploying GPT4t and embedding models, Azure Cognitive Search for vector stores.
- Data Engineering: Feature engineering, distributed computing (Spark/Hadoop), SQL/NoSQL optimization.
Preferred Skills:
- Docker & Azure Container Registry.
- Monitoring tools (Prometheus, Grafana).
- Kubernetes & Helm Charts.
- CI/CD with GitHub Actions.
- Identity management (OAuth2.0).