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Machine Learning Engineer

Xebia·Salary not specified

Primary stack

Machine Learning

Job description

About the Position

Machine Learning Engineer

On-site - Amsterdam, Noord-Holland, Netherlands

Join Xccelerated as a Machine Learning Engineer and accelerate your career with advanced training and challenging projects at top companies.

Responsibilities

  • Help data-driven teams to build production-ready, scalable machine learning systems
  • Productionizing machine learning models
  • Maintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance

Requirements

  • A technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence)
  • 2-4 years of work experience as a ML Engineer or Data scientist
  • Statistical knowledge but are mainly experienced with end to end systems and able to run, deploy and monitor them
  • Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

Nice to Have

  • Experience with cloud architectures
  • Familiarity with big data tools and programming frameworks

We Offer

💰 Good salary

🛫 25 vacation days

📙 Kick off with 2 full-time weeks of hands-on bootcamp training

📊 Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignments

💻 Macbook and Iphone

🍎 Lunches, amazing coffee and snack bar

🎒 Flexibility in working from home & at the office

About the Company

Xccelerated is an initiative within the Xebia Group, accelerating growth of Data, Cloud & AI competence. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. It is an intense learning journey for those who have proven their potential and are ready for the next step in their career.

Are you one of them? Join our dream team of 45 great people. Each member of our team brings a unique specialty and passion to our shared mission: eliminate the shortage of highly skilled Data & AI professionals. To achieve our goal, we empower each other to reach their full potential and inspire others to do the same. Or as Nikki, our ML engineer says: “The skills I learned at Xccelerated are incredibly valuable – I use them every day at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects”.

Application Process

  • First interview with one of our recruitment consultants
  • Technical assessment (from home) you will present to one of our Tech Leads (home/on remote)

We aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability.

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at [email protected] or by phone at 0613889770.

© Xebia. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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