Machine learning Engineer

JobCubby; Amsterdam; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Hospital insurance

Performance-based bonus

International work environment

Job summary

Sia is a next-generation, global management consulting group, expanding its Data team with a Machine Learning Engineer role in Amsterdam. You will lead an internal team developing AI products and work on client projects, shaping cloud architecture and production ML solutions with a cross-border Dutch/French team.

You’ll mentor engineers and contribute to trainings and external events. The role requires MSc level education, 2–4 years of ML pipeline experience, and strong Python plus

Qualifications

• MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.
• 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.
• Strong understanding of Machine Learning fundamentals and domain knowledge (e.g., Computer Vision, Deep Learning, NLP).
• Expert coding skills in Python and at least one of Scala, C++, Java.
• Hands-on experience with SQL and PostgreSQL.
• Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).
• Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).
• Hands-on experience with big data technologies (Spark, Hadoop, Databricks).
• Interest in data and AI topics; ability to quickly build expertise and help clients seize opportunities.
• Experience coaching/mentoring other engineers.
• Willingness to travel to local and international clients.
• Fluency in English and Dutch is required.

Responsibilities

• Leading an internal team towards the development of AI products.
• Working in a multidisciplinary team on client projects as an expert on your subject.
• Making architectural and design decisions for cloud environments.
• Building production level ML/AI solutions with solid software engineering.
• Guiding Data Scientists to scale up models into production (parallelizing, optimizing, tuning, testing).
• Giving trainings, leading internal meetings and organizing external events.
• Participating in team meetings and workshops with clients.
• Writing blog articles and presenting at conferences on the subject you lead.

Skills

Project management

Time management

Problem solving

Communication

Leadership

Teamwork

Education

MSc in Computer Science or related

Tools

Python

Scala

C++

Java

SQL

PostgreSQL

AWS

GCP

Azure

Docker

Kubernetes

Unix

Git

Spark

Hadoop

Databricks

Job description

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

What you will do

As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.

Your responsibilities include:

• Leading an internal team towards the development of AI products;
• Working in a multidisciplinary team on client projects as an expert on your subject;
• Making architectural and design decisions for cloud environments;
• Building production level ML/AI solutions with solid software engineering;
• Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);
• Giving trainings, leading internal meetings and organizing external events;
• Participating in team meetings and workshops with clients;
• Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.

Who you will work with

The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.

Who you are

• You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.
• You have first-rate project management and time management skills.
• You are a true problem solver, you turn complex issues into simple and impactful business solutions.
• You are enthusiastic for applying Data Science/Engineering solutions to business problems.
• You have excellent communication skills and can present complicated concepts in a synthetic way.
• You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.
• You have the ability to work collaboratively in a team environment.

In return, you can expect:

• An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.
• A great working atmosphere with friendly and professional colleagues where innovationand entrepreneurship are encouraged
• A personal development plan with a regular follow-up as well training opportunities to develop yourself
• A competitive salary with great advantages, hospital insurance, performance -related bonus,...

Qualifications

• MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.
• 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.
• Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).
• Expert coding skills in Python and at least one of these languages: Scala, C++, Java.
• Hands-on experience with database management languages (e.g., SQL, PostgreSQL).
• Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).
• Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).
• Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).
• You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.
• Experience with coaching/mentoring other engineers.
• Prior experience in Management Consulting is a strong plus.
• Willingness to travel and work at local and international clients.
• Fluency in spoken and written English and Dutchis required.

Additional Information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.