Machine Learning Engineer Consultant

Mission Overview:

The Machine Learning Engineer position is a consultancy mission at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement.

Role Description:

Machine Learning Engineers promote the adoption of best standards in industrial code development across the ML and AI community. You will develop ML pipelines that are production-ready by design or integrate existing ML solutions into industrial pipelines. Responsibilities include developing, deploying, and monitoring AI services, contributing to data quality checks, data flow design, model design, and integration into production environments. You will facilitate communication between AI & Analytics teams and IT production regarding ML model deployment, ensuring models in production are equipped with appropriate data pipelines and monitoring.

Function Description:

As a Machine Learning Engineer, you will contribute to Machine Learning projects by:

• Working with Data Scientists to define and develop target solutions with production constraints in mind, selecting the correct infrastructure and serving model to address business requirements.
• Contributing to the automation of ML pipeline elements for integration and deployment in production environments (e.g., building Docker/VM images, preparing unitary, regression, and integration tests).
• Supporting Data Scientists in using existing industrial solutions to build and monitor AI services (CI/CD tools).
• Supporting IT Production in parameterizing the target environment.
• Ensuring models run without errors, are retrained as needed (including automatically), and are monitored from both IT and business perspectives.

Language Requirements:

• Dutch: is a plus
• French: is a plus
• English: is mandatory

Telework:

• Expectation: 50% on site & 50% homeworking

Required Experience / Knowledge:

• At least 4 years of relevant experience

Technical Experience (Mandatory):

• Containerization / virtualization
• AI platforms & IDEs
• CI/CD (gitlab-ci)
• Code, model & data versioning
• Python advanced
• Usage of package management tools and experience in dependency management
• PostgreSQL

Technical Experience (Preferable):

• Experience with integration using different technologies (distributed/mainframe) and infrastructure components
• Model compression techniques
• ELT / ETL tools
• Big data tools (Spark)
• Data flow processing
• Data visualization tools

Business Experience (Mandatory):

• Knowledge of agile methodology

Soft Skills:

• Communication skills - oral & written
• Ability to deliver/results driven
• Attention to detail/rigor
• Creativity & innovation/problem solving
• Proactively invests time in continuous learning and knowledge improvement
• Demonstrates awareness of efficiency and efficacy
• Thinks out of the box outside existing processes and frameworks
• Works with energy and empowerment to deliver great results and contribute to company success
• Is constructive by being open to changes and others’ opinions, ideas, and feedback

Keystone Solutions Advantages:

As a Keystone Solutions consultant, you will:

• Embrace the consultancy nature of the role, working on-site and representing Keystone Solutions at the client.
• Engage in dynamic projects, facing diverse challenges across various client environments.
• Benefit from turbo-charged learning, with opportunities for professional development and broad learning experiences.
• Experience skyrocketing ambition, with a commitment to career growth within the Keystone Solutions framework.
• Bring core values as a “K-Stone” to every engagement, ensuring excellence and integrity in all missions.

Call to Action:

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.