AI / ML Specialist

AI / ML Specialist

Full-Time 60000 - 80000 € / year (est.) No home office possible
Avanade

At a Glance

  • Tasks: Drive the development of cutting-edge generative AI solutions within the Microsoft ecosystem.
  • Company: Join Avanade, a leader in digital transformation and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Work in a dynamic, agile environment with global reach and local impact.
  • Why this job: Be at the forefront of AI technology and make a real impact.
  • Qualifications: Experience in software engineering, data science, or machine learning with proficiency in Python.

The predicted salary is between 60000 - 80000 € per year.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience.

  • Strong software development background with proficiency in Python.
  • Experience with API development using FastAPI, Flask, or Django.
  • Knowledge of Docker and containerized deployments.
  • Expertise in applying prompt engineering techniques to improve model performance and reliability.
  • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices.
  • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry.
  • Strong understanding of software engineering principles and best practices.
  • Ability to work in agile environments and collaborate with cross-functional teams.
  • Knowledge of vector databases, RAG architectures and their integration into enterprise systems.
  • A passion for staying current with the latest advancements in GenAI, LLMs, and AI frameworks.
  • Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals.
  • Bachelor's in computer science, data science, or a related field.

Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem.

AI / ML Specialist employer: Avanade

Avanade is an exceptional employer for AI / ML Specialists, offering a dynamic work culture that fosters innovation and collaboration within the Microsoft ecosystem. Employees benefit from continuous professional development opportunities, a commitment to responsible AI practices, and the chance to work on cutting-edge projects that make a global impact while enjoying a strong local presence. With a focus on employee growth and a supportive environment, Avanade stands out as a rewarding place to advance your career in technology.

Avanade

Contact Detail:

Avanade Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI / ML Specialist

Tip Number 1

Network like a pro! Connect with folks in the AI and ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those using Microsoft platforms like Azure AI Foundry. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI/ML and be ready to discuss your experience with prompt engineering and containerized deployments.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace AI / ML Specialist

Python
API Development
FastAPI
Flask
Django
Docker
Containerized Deployments

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Microsoft platforms and AI technologies. We want to see how your skills in Python, API development, and prompt engineering align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about generative AI and how your background makes you the perfect fit for our team. Keep it engaging and relevant to the role.

Showcase Your Projects:If you've worked on any AI projects or have experience with Docker and containerized deployments, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our innovative team!

How to prepare for a job interview at Avanade

Know Your Tech Inside Out

Make sure you brush up on your knowledge of Python, FastAPI, Flask, and Docker. Be ready to discuss how you've used these technologies in past projects, especially in the context of AI applications. The more specific examples you can provide, the better!

Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled challenges in your previous roles, particularly around prompt engineering and implementing evaluation frameworks. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your innovative thinking.

Familiarise Yourself with Microsoft Ecosystem

Since the role is heavily tied to the Microsoft ecosystem, make sure you understand M365, Copilot Studio, and Azure AI Foundry. Research recent developments or case studies related to these platforms to demonstrate your enthusiasm and knowledge during the interview.

Emphasise Collaboration and Agility

This position requires working in agile environments and collaborating with cross-functional teams. Be prepared to share examples of how you've successfully worked in teams, adapted to changes, and contributed to a collaborative culture. Highlight any experience you have with Agile methodologies.