AI Machine Learning Engineer

At Visium, we partner with leading enterprises to define their AI & Data strategy, execute large-scale transformations, and integrate AI across operations, securing their organization's future. Leveraging our expertise in strategy, cloud platform engineering, and artificial intelligence, we empower our clients to unlock and scale the power of their data. We are currently spearheading a major transformation for a client in the Flavor and Fragrance sector and are seeking exceptional talent to contribute to this impactful work. This is a unique opportunity to join our client's team (as a direct employee of the client). You will shape the future of the organization, collaborating with senior leaders and cutting-edge technologies to deliver AI-driven innovation and tangible business impact. As a AI/ML Engineer, you are a key technical contributor responsible for developing and deploying complex AI initiatives.

Responsibilities

Technical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices; Hands-on Development: Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor; MLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability; Agile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines; Business Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates

Requirements

Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code); Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems; Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high-precision R&D use cases; Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized; Hands-on experience with the Azure ML SDK/CLI or Azure Databricks, including managed online endpoints, compute clusters, and data assets; Experience building and maintaining deployment pipelines using Azure DevOps or automation in Gitlab; Proficiency in Docker for packaging and scaling AI/ML workloads within cloud-native environments; Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality); Experience working within an Agile/Scrum framework to deliver consistent project velocity; Ability to communicate complex trade-offs clearly to non-technical stakeholders; Proven track record of taking ML models from a research phase to a stable production environment

Nice to have

Master’s degree or higher in Computer Science, AI, Data Science, or a related field; Exposure to formulation, chemistry or the Fragrance & Flavour industry; French is strongly preferred