By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.

Mid-Level Machine Learning Engineer - Banking

Financial Services

Full Time

About the role:

We are seeking a passionate Machine Learning Engineer (MLE) to join our growing team in Brussels. In this role, you will play a pivotal role in building and deploying innovative machine learning solutions for our banking and financial services clients. You will collaborate with them to solve complex business challenges and develop impactful models that drive real-world results.

About Sailpeak:

Sailpeak is a Brussels-based consulting firm specializing in guiding Banking & Insurance firms through the complexities of digital transformation. With expertise in Business Strategy, Data & AI, and Digital Transformation, Sailpeak helps clients navigate the ever-evolving landscape and reach new heights of success.

Role and Responsibilities:

  • Partner with banking clients to understand their data challenges and translate them into machine learning problems.
  • Design, develop, and deploy robust machine learning models for various use cases, such as fraud detection, risk assessment, customer churn prediction, and more.
  • Utilize your expertise in deep learning, natural language processing (NLP), and other relevant techniques to create high-performing models.
  • Champion the entire machine learning lifecycle, from data engineering and model training to evaluation, optimization, and deployment.
  • Work closely with data scientists and software engineers to ensure seamless integration of models into client systems.
  • Collaborate on internal initiatives to develop and improve MLOps practices for model management and monitoring.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements:

Education:

  • Master's degree in Computer Science, Data Science, or a related field with a strong focus on machine learning.

Experience:

  • 3-5 years of experience as a Machine Learning Engineer or a Data Scientist with a focus on machine learning. Prior experience in the banking or financial services sector is a plus.
  • Proven track record of designing, developing, and deploying machine learning models in production environments

Technical Skills:

  • In-depth knowledge of machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.) and deep learning frameworks.
  • Familiarity with NLP techniques and tools.
  • Experience with MLOps tools and best practices for model deployment, monitoring, and governance.
  • Strong programming skills (Python preferred) and experience with distributed computing frameworks (Spark, Hadoop, etc.) is a plus.

Language Skills:

  • Fluent in English, French, and/or Dutch.

Other Skills:

  • Experience with Scrum or Agile methods is a plus.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and collaboratively.
  • Excellent communication and interpersonal skills.
  • Passion for continuous learning and keeping up with the latest developments in AI and data science.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work on cutting-edge projects with leading banking clients.
  • Exposure to a wide array of AI and data science technologies.
  • Mentorship and support from Directors and Partners with backgrounds from renowned companies like Google, PayPal, Semetis, and Sia Partners.
  • A dynamic and collaborative work environment.

Interested?

Are you ready to embark on a rewarding career in management consulting with Sailpeak? To apply for this role, kindly send the following to careers@sailpeak.com:

  • Your up-to-date CV/resume.
  • A cover letter outlining your interest in the role and your pertinent qualifications.
  • Details of any academic or professional accomplishments or projects.

Set your course toward a transformative career at Sailpeak today!

Interested

Want to know more about the role and about Sailpeak? Feel free to contact us directly.

Contact