Machine learning Engineer

Sia Partners; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Mobility budget

Performance-related bonus

Training opportunities

Job summary

A leading global management consulting group in Amsterdam is seeking a Machine Learning Engineer to lead AI product development and apply data science solutions to business challenges. The ideal candidate has a strong educational background in computer science, 2-4 years of experience in ML pipelines, and excellent project management skills. You will have opportunities for personal development within a dynamic team culture that values diversity and innovation.

Qualifications

• 2-4 years of experience in building production-quality ML/Deep Learning pipelines.
• Good understanding of Machine Learning fundamentals.
• Experience coaching/mentoring other engineers.

Responsibilities

• Lead an internal team towards the development of AI products.
• Build production-level ML/AI solutions with solid software engineering.
• Guide Data Scientists to scale up their models into production.

Skills

Project management

Problem solving

Communication

Collaboration

Data Science applications

Education

MSc in Computer Science or related field

Tools

Python

Scala

Cloud-based infrastructures (AWS/GCP/Azure)

DevOps tools (Git, Docker, Kubernetes)

Big data technologies (Spark, Hadoop, Databricks)

Job description

Join Sia as a Machine Learning Engineer

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. 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.

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 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.

Team

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 innovation and 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, like mobility budget, 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).
• 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 is required.
• Ability or strong willingness to be professionally proficient in the Dutch language.

Additional information

We are unable to provide a work permit for this position.