DATA SCIENTIST

About UsMGS is an IT business that has grown through years of experience working in challenging corporate contexts. MGS represents the result of expert knowledge applied to the needs of contemporary businesses seeking innovation, modernization, and the protection of their own and their clients' assets.Our ObjectivesMGS objective is to provide innovative, reliable IT services that exceed our clients’ expectations while delivering outstanding value through our unwavering dedication to quality.At MGS, we think innovation drives progress and are devoted to staying ahead in the fast-paced digital sector. We aspire to be a trusted partner to our clients, providing cutting-edge solutions that match their current and future demands.MGS experienced and devoted staff and meticulous attention to detail demonstrate our dedication to excellence. Our unparalleled service and assistance earn our clients’ trust and confidence.MGS helps clients reach their company goals and remain ahead of the competition to provide real value. Our work’s quality and our clients’ success determine our success.Our VisionE-commerce, AI, and next-generation SOC capabilities will revolutionize enterprises, according to our technology experts.We lead this quickly changing terrain by providing our clients with cutting-edge tools and technology to succeed in the digital age. We leverage e-commerce to assist companies of all sizes increase sales and reach.MGS will use and develop AI-powered systems to analyze massive volumes of data and provide real-time actionable insights. We are committed to staying at the forefront of this interesting industry as AI becomes increasingly essential in every part of business.Our vision includes next-generation SOC capabilities to give our clients the most advanced cybersecurity solutions. We recognize the necessity of staying ahead of the curve and giving our clients the peace of mind, they need to focus on their core business as cyber threats become more complex and frequent.Our goal is to help clients confidently navigate the complex and fast changing world of technology. Our work and clients’ success determine our success.Our MotoMGS moto: “TrainHard, WorkSMART, Deliver onCommitment”.MGS Core Values At The Essence Of Our DNAExpertise:through extensive training and real life experienceValue delivery:following SMART principle we deliver value based on clients’ needs and objectives.Commitment:through expertise, dedication and quality assuranceJob DescriptionThis position comprises two complementary aspects: the coordination of AI and data science projects, and the hands-on implementation of related technological solutions.As coordinator, you will serve as the central reference point within the organization for the deployment of AI initiatives. You will collaborate closely with IT and business stakeholders to translate operational needs into feasible and scalable AI/data projects. You will lead the technical aspects of these initiatives, overseeing all phases including analysis, development, industrialization, monitoring, and maintenance. While you will not always act as the formal project manager, you will supervise junior and mid-level technical staff involved in the projects under your guidance.On the implementation side, you will contribute directly to the design and development of AI and data science solutions tailored to the organization’s operational and tactical requirements. You will be responsible for building, deploying, and maintaining machine learning pipelines, ensuring they are monitored effectively. As a senior technical profile, you will promote best practices in programming and machine learning across the team, while staying up to date with the latest developments in MLOps and machine learning. You will also provide technological guidance to your peers, supporting them in strategic and technical decision-making.RequirementsYou hold a Master’s or PhD in computer science, artificial intelligence, or a related field, and you have at least 5 years of relevant experience in data science, MLOps, and machine learning.You Possess Strong Expertise In The Following AreasOn-Premise and Cloud Development: Experience in developing and deploying AI solutions both on-premise and on cloud platforms (Azure, AWS, GCP).Professional Experience: Minimum of 5 years working with machine learning, MLOps, and big data technologies.ML & Deep Learning: Strong theoretical background and hands-on experience in machine learning and deep learning.Database Paradigms: Solid knowledge of relational and non-relational databases (SQL and NoSQL), including PostgreSQL, MySQL, Milvus, and Neo4j.ML & MLOps Deployment: Proven experience in deploying ML models and implementing robust MLOps practices.Big Data Handling: Experience working with large structured and unstructured datasets.Containerization & Deployment: Experience with Docker and Kubernetes, and with orchestration tools like Kubeflow. Familiarity with ML pipeline tools such as Kubeflow, MLflow, SageMaker.CI/CD for ML: Mastery of CI/CD workflows tailored to machine learning code and models.Data Storage: Familiarity with data lakes, data warehouses, and object storage solutions (e.g., S3).System Architecture: Ability to design full ML systems end-to-end with a focus on scalability, robustness, maintainability, and infrastructure constraints.Hard SkillsDatabases: MySQL, PostgreSQL, Neo4j, MilvusAI Frameworks: PyTorch, TensorFlow, HuggingFace, scikit-learn, OpenCV, MLflowProgramming Languages: Python (R is a plus)Cloud Platforms: Azure, AWSOrchestration Tools: Kubernetes, KubeflowVersion Control (code & models): Git, GitHub, GitLab, DVC, MLflow, NeptuneLanguagesYou are fluent in English and have strong proficiency in at least one of the two national languages (French or Dutch).