Exsolvæ

About the Company

Data changed our world and the way we interact with the industry as professionals. The days when being an expert in one field only was sufficient are gone. The Data Era has come, with it’s opportunities, but also with it’s own problematics, as today, solving an issue with a monofocal expertise at one end of the Data Flow can result in a dramatic gap at the other.

Exsolvæ provides an environment of knowledge sharing for data related professionals in order to create a solid understanding of other experts activities along with the issues they face while working on the same data flow in order to help a new generation of pluridisciplinary engineers to emerge.

From the Data Generating Process at the shop-floor level until it’s Valorization through Dashboarding or Visualization tools for Top Management, the Automation Engineers, Data Scientists, Data Analysts, Computer Scientists, Machine Learning Engineers or Artificial Intelligence Engineers among our teams are not just consultants, they are Solvers.

Their expertise doesn't come just from books.

Their expertise comes from the experience and knowledge they shared.

Their expertise comes from each and everyone of them and the solutions they deployed.

Their expertise comes, EX-SOLVÆ.

Listed Jobs

Company Name

Exsolvæ

Job Title

Solver - Generative AI Specialist

Job Description

About Exsolvæ:
Exsolvæ is a Brussels-based consultancy specializing in Data and Artificial Intelligence innovation, providing expert Consultancy, Audit, and Solution Development services tailored to empower its partners and address their unique challenges. We tackle complex challenges with a holistic approach, fostering collaboration across diverse expertise areas, including Data Engineering, Artificial Intelligence, Advanced Analytics, and Governance.

Our "Solvers" are passionate professionals empowered by cutting-edge tools, a culture of knowledge sharing, and continuous learning opportunities. We are seeking a Generative AI Specialist to join our team of experts, helping our clients leverage the power of advanced AI technologies to transform their operations.

Your Role:
As a Generative AI Specialist, you will collaborate with cross-functional teams and clients to design, develop, and deploy innovative AI solutions, with a particular focus on generative models and their applications.

What We’re Looking For:

Required Skills and Qualifications (Mandatory)
Educational Background: Master’s or PhD in Computer Science, Data Science, AI, or related fields.
Seniority: 3-7 years of work experience including at least 2 in the aforementioned specialty
Languages: Written & Spoken Fluency in English AND French or Dutch
Technical Expertise: Proven experience with generative AI frameworks like OpenAI, LangChain, Hugging Face, or similar.
Programming Proficiency: Advanced skills in Python and familiarity with AI libraries such as TensorFlow or PyTorch.
Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying AI models.
Communication Skills: Strong ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills
Experience in fine-tuning and customizing large language models (LLMs).
Familiarity with agent-based systems for task automation.
Knowledge of MLOps tools and best practices for AI model deployment and monitoring.
Strong business acumen to align AI solutions with strategic goals.

What You’ll Do:

Core Expertise
Client Collaboration: Engage with clients to identify business needs, explore AI opportunities, and deliver tailored solutions leveraging generative AI.
Use Case Development: Analyze client challenges to propose and implement generative AI applications such as text generation, image synthesis, content creation, or workflow automation.

Technical Implementation
Model Development: Design, build, and fine-tune generative AI models using frameworks like OpenAI, LangChain, and Hugging Face.
Agent Design: Create agent-based architectures for real-time decision-making and task automation.
Integration: Connect generative AI systems with external tools, APIs, and enterprise systems to optimize workflow and performance.

Research and Innovation
Stay updated on the latest advancements in generative AI and contribute to internal R&D initiatives.
Experiment with emerging models, techniques, and tools to ensure cutting-edge solutions for clients.

Project Management
Plan, execute, and oversee the delivery of AI projects, ensuring timely and high-quality outcomes.
Collaborate with multidisciplinary teams to ensure smooth project integration.

Training and Support
Conduct workshops and training sessions for clients to empower their teams with generative AI capabilities.
Provide ongoing support for deployed solutions to ensure scalability and optimization.

Why Join Us?
Impactful Projects: Contribute to diverse and innovative AI projects across industries like finance, healthcare, and manufacturing.
Continuous Learning: Benefit from the latest GenAI tools as well as an annual budget for certifications, training, and conferences to stay ahead in your field.
Collaborative Environment: Join a team that values collective intelligence and a supportive culture.
Hybrid Flexibility: Enjoy a balanced work model that offers remote and in-office collaboration.
Competitive Package: Attractive salary, performance bonuses, and comprehensive benefits.

Brussels, Belgium

On site

17-03-2025

Company Name

Exsolvæ

Job Title

Solver - Data Science & Machine Learning Specialist

Job Description

About Exsolvæ:
Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Science, Advanced Analytics, and Artificial Intelligence.

At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions.

We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative AI and machine learning solutions.

Your Role:
As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their most pressing challenges and create sustainable value using AI and ML.

What We’re Looking For:

Required Skills and Qualifications
Educational Background: Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.
Languages: Written & Spoken Fluency in English AND French or Dutch
Seniority: 3-7 years of work experience
Programming Skills: Expertise in Python and SQL, with experience in big data tools like Apache Spark or Databricks.
Machine Learning Mastery: Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models.
Cloud Expertise: Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP Vertex AI for scalable AI deployments.
Data Visualization: Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly.
Statistics and Mathematics: Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques.
Soft Skills: Exceptional communication, critical thinking, and stakeholder management skills.

Preferred Skills
Familiarity with advanced ML techniques, such as reinforcement learning, graph ML, and large language models (LLMs).
Experience with MLOps tools like MLflow, Kubeflow, and Docker/Kubernetes.
Knowledge of causal inference frameworks (e.g., DoWhy, EconML) and time-series forecasting methods.
Certifications such as Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning, or Google Professional ML Engineer.

What You’ll Do:

Core Expertise
Client Engagement: Collaborate with clients to identify data challenges, define objectives, and recommend AI/ML solutions that align with business goals.
Model Development: Design and train advanced machine learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
Insight Generation: Transform complex datasets into actionable insights using statistical analysis and advanced visualization tools like Power BI or Tableau.

Technical Implementation
Machine Learning Solutions: Develop models for classification, regression, clustering, and NLP using modern techniques, including deep learning and reinforcement learning.
Data Engineering: Collaborate with Data Engineers to build robust data pipelines and optimize data for ML applications using platforms like Azure, AWS, or GCP.
MLOps: Deploy and maintain models in production environments using MLOps pipelines with tools like MLflow or Kubeflow.
Cloud Deployment: Implement AI workflows on cloud platforms such as Azure Machine Learning, AWS SageMaker, or GCP Vertex AI with scalability and performance in mind.

Research and Innovation
Stay updated on advancements in AI/ML technologies and incorporate state-of-the-art practices into client projects.
Explore innovative methodologies like transfer learning, Vision Transformers, and graph neural networks to enhance solutions.

Project Management
Lead end-to-end ML projects, from problem definition to model deployment, ensuring alignment with client objectives and deadlines.
Collaborate with cross-functional teams, including Data Engineers and Solution Architects, to deliver comprehensive solutions.

Training and Support
Conduct workshops and training sessions to empower client teams in adopting and managing AI/ML solutions.
Provide ongoing support to ensure the scalability and performance of deployed AI systems.

Why Join Us?
Impactful Projects: Work on transformative AI/ML initiatives across industries like finance, healthcare, retail, and energy.
Continuous Learning: Access to the latest tools, certifications, and training opportunities to remain at the cutting edge of AI and ML.
Collaborative Culture: Be part of a team that values knowledge sharing and collective growth.
Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration.
Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits.

If you are a driven professional with a passion for Artificial Intelligence and a proven ability to design and deploy impactful AI/ML solutions, we’d love to hear from you!

Brussels Region, Belgium

On site

17-03-2025