26 jobs voor data scientist machine learning gevonden

Je werkt Agile en hebt ervaring met MLOps technieken..Je werkt met machine learning algoritmen, statistische analyses en datavisualisatietools..

Je werkt Agile en hebt ervaring met MLOps technieken..Je werkt met machine learning algoritmen, statistische analyses en datavisualisatietools..

Talen.Cia Consulting is looking for a Data Scientist for a renowned client based in Brussels.

Description: 

Using generative AI, creating predictive and prescriptive models, evaluating data, and producing actionable insights to inform business decisions across several departments will all be crucial tasks for the Data Scientist.Working on difficult projects, interacting with cross-functional teams, and supporting overall company strategy are all opportunities presented by this role.

 

Nieuwe AI technieken ontwikkelen en implementeren (LLM, Graph.ML,.).Mentorschap en leadership: Mentor zijn van junior data science teamleden.

.Mentorschap en leadership:..Machine Learning modellen valideren en optimaliseren:. .Innovatie en technologische integratie:.

Nieuwe AI technieken ontwikkelen en implementeren (LLM, Graph.ML,.).Mentorschap en leadership: Mentor zijn van junior data science teamleden.

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting.At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients.

Are you passionate about data-driven platforms, machine learning models, and innovative applications?As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries.Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience.For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

Key Responsibilities:

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.

• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.

   

Het e.Healthplatform, een beveiligd uitwisselingsplatform voor medische informatie, zal papieren doktersbriefjes en doktersvoorschriften op termijn overbodig maken.

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting.At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients.

.Scaling intelligence into industrialized analytical products:.Exploring analytical and data driven use cases:..

Master's degree (or equivalent through experience) in a field that is highly data driven. .Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning..

Job Description

As a Senior Data Scientist, you will build and share knowledge with your colleagues.With initiatives like our knowledge sharing sessions, you have various chances to bond and exchange ideas with colleagues, and keep up to date with the latest developments in the field.

You love working with data and are an expert in developing and implementing various statistical and machine learning.You will work in a multidisciplinary team, including data engineers, cloud architects, analysts,

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting.At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients.If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following:

• At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
• Strong software engineering background
• Experience deploying machine learning in production
• Experience with experiment tracking, models monitoring, and deployment strategies
• Ability to write production ready code in Python
• Experience with CI/CD pipelines and understanding of Infrastructure as Code
• Knowledge of containers and container orchestration
• Master software engineering best practices and software release cycle
• Solid understanding of Linux and in depth knowledge of at least one cloud provider
• Knowledge of big data technologies such as Apache Spark, Kafka
• Able to coach others and give technical advice and direction
• Experience building, scheduling and maintaining ML pipelines
• Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
• Master or Ph.D in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
• You are proficient in English, knowledge of Dutch and/or French is a plus

 

Ondersteunen bij de implementatie van machine learning modellen in productieomgevingen..Documenteren van technische oplossingen en processen..

In (https://www.linkedin.com/company/radar learning innovation centre az delta/) en Git.Hub (https://github.com/RADar AZDelta).

Design and develop LLM models to translate user queries into well formed SQL queries .Build and refine LLM models for transforming raw data into interpretable results (text, graphics, tables) ..Work location.

Do you like to collaborate with data scientists and engineers?

Engineers and data scientist work together to build mathematical and statistical models to simulate how machines work and components degrade.

These “digital twins” help us to improve machine design and maintenance.

After creation, these models need to be deployed on large scale with high reliability.Within the cloud native development team your focus will be on developing, deploying and maintain programs to execute predictive maintenance.

What skills can you bring to our team?

In this position various skills will be applied, and it will be helpful if you have experience in cloud programming, container technologies such as

Docker and Kubernetes or designing APIs and are familiar with the Dev.Ops and Infrastructure development life-cycle.

Besides bringing a skill set to our team, we look for team members that are curious and willing to learn and deepen their skills.

As a Data Engineer, you'll be at the heart of our data team, working alongside BI analysts, data scientists, data stewards, and developers to create the systems and tools we need to process and analyze large amounts of data .You'll be responsible for defining our Big Data architecture and infrastructure, determining which data to collect, and ensuring that the right data is collected whether it's structured data from databases and logs, or unstructured data from free form sources like PDFs and emails .

You train, fine tune, improve, and deploy ML models.Furthermore, you write production ready code and serve online, batch, and real time models.

En tant que Data Scientist, vous jouerez un rôle clé dans le développement et la validation de nos solutions basées sur les données.Vos missions principales seront les suivantes :
Validation et optimisation des modèles de machine learning :

• Développer des protocoles de test rigoureux pour valider la précision des modèles prédictifs.
• Optimiser les performances des algorithmes en ajustant les hyperparamètres.
• Assurer l'intégration efficace des modèles dans l'environnement de production.
• Développer et implémenter des nouvelles techniques d’intelligence artificielle (LLM, Graph.ML, …).

Mentorat et leadership:

• Encadrer les membres juniors de l'équipe en science des données.
• Organiser des ateliers et des sessions de formation continue pour partager les meilleures pratiques et les dernières avancées.
• Contribuer activement à la stratégie de croissance de l'équipe de data science.

Accélération de la maturité analytique de l'entreprise :

• Identifier les opportunités d'amélioration des processus analytiques existants.
• Promouvoir l'adoption de standards élevés en matière de traitement et d'analyse des données.
• Collaborer avec d'autres départements pour intégrer la science des données dans diverses fonctions de l'entreprise.

Innovation et intégration technologique :

• Évaluer et intégrer de nouvelles technologies et outils pour rester à la pointe de l'innovation.
• Piloter des projets de recherche et développement pour explorer de nouvelles méthodologies de traitement des données.

 

Talen.Cia Consulting is currently looking for a Data Engineer with a strong knowledge and experience with Python for one of my clients.

Job description:

The main aim of this new role will be to work with the team to fully migrate our DWH to the cloud.

You will help the client to: 

• Transform the DWH into a cloud-native architecture
• Model and enhance the company's DWH 
• Propose changes in terms of data management and DWH architecture. 
• Create B.O (SAP Business Object) universes enabling end users to exploit the data.
• Transforming and preparing data, from identifying it, documenting data flows, extracting data and feeding models.

If you're interested in all things AI, we work closely with our data scientist colleagues to make the future speak by building

• Optical character recognition services (extracting information from digitised documents)
• Machine learning models to help us better manage our customer portfolio
• .and more, every day brings new possibilities 

 

In our day-to-day work, we use

• the AWS cloud
• in python
• mainly serverless AWS tools (AWS batch, AWS lambda, etc.) supported by the metaflow framework

• but also, other tools such as docker, R, Rstudio, WSL, etc.

   

Ops teams om operationele data aspecten te beheren, zoals het instellen en inzichtelijk maken van data SLAsEfficiëntie en Optimalisatie: Identificeer kansen om bedrijfsprocessen te stroomlijnen en efficiëntieverbeteringen door effectief data management te realiseren 

Van Business Intelligence tot AI, van Master Data Governance tot Machine Learning.

Jouw werk helpt bij data valorisatie, risicobeheersing en het streven naar operationele excellentie.Met jouw expertise in machine learning weet je praktische oplossingen te bieden voor de uiteenlopende uitdagingen binnen het Havenbedrijf.

Als medewerker van het data science team ben je verantwoordelijk voor het ontwerpen, bouwen en implementeren van geavanceerde AI toepassingen die waardevolle inzichten opleveren uit enorme datasets.Jouw werk helpt bij data valorisatie, risicobeheersing en het streven naar operationele excellentie.