20 jobs voor data scientist machine learning gevonden

Samen met data ingenieurs, data architecten en domeinexperten zorg je voor datavoorbereiding, modellering en transformatie.Verantwoordelijkheden:Ontwikkelen en implementeren van AI en machine learning modellenData voorbereiden, modelleren en transformerenToepassen van machine learning, deep learning en NLP techniekenUitvoeren van analytische experimentenDocumenteren van methodologieën en processenCoachingTechnische competenties:Expertise in machine learning algoritmenKennis van deep learning frameworks (Tensor.Flow, Py.

Team Collaboration: Partnering with software engineers and data engineers to operationalize developed solutions...

DB, Cassandra).Model Management Tools: MLflow, Tensor.Board.Cloud Platforms: AWS, Azure, GCP.  Flow, scikit learn.Streaming Platforms: Apache Kafka, Spark Streaming.Databases: SQL (Postgre.SQL, My.

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..

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. .Mentor zijn van junior data science teamleden.

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

Je leidt E2E data science projecten, inclusief stakeholder management en communicatie en het ondersteunen van junior data scientists;.

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.

   

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

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

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

 

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.

We zoeken een gedreven professional die wil groeien in een dynamische omgeving en een belangrijke bijdrage wil leveren aan de besluitvorming binnen de organisatie.Jouw nieuwe functieOndersteunen van de uitvoering van end to end Data Science projecten en datapijplijnen.Data exploratie en validatie van nieuwe databronnen.Verzamelen, schoonmaken, voorbereiden, valideren en laden van gegevens voor gebruik door Data Scientists en BI analisten.Ontwikkelen van integratietests voor nieuwe gegevensverwerkingsstromen.Mogelijk betrokken bij de implementatie van algoritmen, zoals Machine Learning algoritmen.Opzetten en onderhouden van (Big ).

.Build and maintain data systems.

Our client is a leading global real estate services firm. 

In order to develop the structure of the company, they are looking for a Data Engineer responsible for laying the foundations for the acquisition, storage, transformation, and management of data.You will work closely with business and data analysts in order to architecting solutions for data scientists that enable them to do their jobs.

This position is based in Brussels. 
 

As Data Engineer, you will have a large scope of intervention:

• Build and maintain data systems
• Construct datasets that are easy to analyze and support company requirements
• Use various methods to transform raw data into useful data systems
• Evaluate business needs and objectives
• Conduct complex data analysis and report on results
• Explore ways to enhance data quality and reliability
• Collaborate with data analysts and business on several projects
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.

   

You establish and maintain global operational process standards, drive the roll out for Process Operating Standards (SOPas, Process routines,), and Process capability monitoring  across existing installations.You are responsible to  provide training materials  and train the trainers.