Data Software Engineer
On site
Brussels, Belgium
Full Time
17-10-2024
Job Specifications
Troople is at the forefront of artificial intelligence, specializing in machine learning, deep learning, and advanced language models. As we continue to grow rapidly, we're looking for passionate software engineers/data scientists/data engineer to join our dynamic and agile team.
In this role, you'll tackle complex, high-impact problems requiring advanced analytical skills and innovative thinking. You'll have the autonomy to manage projects, from identifying needs to implementing solutions, while collaborating with a skilled team to ensure alignment with project objectives.
You must be able to analyse structured and unstructured data sets to extract valuable information, ask the right questions and find the right solutions.
Your responsibilities will include:
- Analyzing raw data to assess quality, clean, and structure it for processing.
- Developing accurate, scalable predictive algorithms.
- Designing and implementing large language model (LLM) pipelines.
- Deploying models with attention to access security.
- Generating actionable insights to optimize business operations and strategies.
- ...
Skills and qualifications required:
- Master's degree or equivalent experience in a quantitative field (e.g., statistics, mathematics, data science, computer science, engineering).
- Proficiency in Python and SQL, with experience in PostgreSQL or vector databases.
- Strong understanding of machine learning, deep learning, and predictive models.
- Experience with cloud platforms (Azure, AWS, GCP).
- Familiarity with data visualization tools (Tableau, PowerBI) and big data technologies (Hadoop, Spark) is a plus.
- Ability to develop user interfaces is a bonus.
About the Company
Troople helps companies to achieve their full business potential by gathering the most valuable data, visualization techniques, predictive models and statistical analyses. Our team propose consultancy services via data science techniques to companies that wish to embrace this new paradigm related to artificial intelligence applied to business. Our goal is to support companies along the path of problem solving. We advise on the best sources of data generation through discussion with the client. We valorize data via AI ... Know more
Related Jobs
- Company Name
- Satellit
- Job Title
- Python Developer
- Job Description
- One of our client is looking for a Python Developer. Responsibilities: Develop, maintain, and operate an automated system for balancing real-time energy supply and demand. Collaborate on design and implementation issues to advance team objectives. Handle production issues from root cause analysis to resolution. Skills and Competences: Proficiency in Python/AirFlow for backend development. Experience with Angular for frontend development. Experience with Docker containers. Software Craftsmanship & Clean Code. Autonomous yet interdependent work style. Clear, concrete, concise, and transparent communication. Pro-active, curious, positive team player. Qualifications University degree required. At least 5 years of professional experience in Python (applying S.O.L.I.D. Principles). Relevant project experience with Docker and Kubernetes. Fluent in English, with French or Dutch as an asset. Knowledge and skills in the energy market industry.
- Company Name
- Fujitsu
- Job Title
- Business Analyst - Focus in AI Solutions
- Job Description
- Fujitsu is looking for a Business Analyst - focus in AI to work on a project within the EU Institutions, in Brussels. ON-SITE KNOWLEDGE AND SKILLS • Good knowledge of natural language processing systems lifecycle and agile software development methodologies. • Experience in the field of corpus-based linguistics. • Experience with alignment models and classification methods. • Experience with data analytics over big datasets, non-structured databases as well as data lakes. • Good knowledge of information systems matters. • Good knowledge of large organization administrative business processes. • Good knowledge of analysis/modeling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams, etc.). • Good knowledge of BPMN or UML or other equivalent tools. • Good knowledge of Wiki and collaborative sites. • Knowledge of software development methodologies (e.g., RUP, Agile). • Excellent knowledge of Data Analytics techniques and tools. • Experience in Machine Learning and Natural Language Processing. • Experience with languages like R, Python, PERL. • Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData…). • Expertise in the ETL processes and tools (SAS, Talend Open Studio…). • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL). • Knowledge of architectural design and implementation of scalable modern data stores. Languages: English Location: Brussels, Belgium ON-SITE Contract: Freelance or Employee - YOU DECIDE
- Company Name
- Qualient Technology Solutions UK Limited
- Job Title
- Desktop Support Engineer
- Job Description
- To investigate causes of unexpected server crashes, and service crashes and provide RCA as and when required for hardware failure Hardware Troubleshooting (Desktop, Laptop, Servers, ticketing Kiosk and Network Devices) OS installation, upgrade and troubleshooting OS Service pacts/Patches installation for Windows and iOS using Intune Third parts tools installation as per guidelines and manage Hardware Spare stock Managing & troubleshooting hardware for windows (x86 & x64) services, iOS and VmwareESXi Vendor coordination for the replacement of faulty hardware Raising, handling, and resolving incidents and work order This is a onsite role and would require to be working from Office and would be able to perform floor walk and report on daily basis. Create and maintain knowledgebase and central repository for information’s sharing Knowledge and good understanding of Active Directory Tools and objects (policy, trust, FSMO), DNS, DHCP, Windows (x86 & x64) Group policy etc. Knowledge of ITIL framework Knowledge of hardware monitoring tools is an added advantage Minimum4+ years of experience for Deskside consultant Excellent communication and conversation skills (Verbal and Written – both French & English) Should have a great customer handling skills Able to handle unforeseen situations and able to support Oncall when required during site outage Few travels across continent locations will be required across the Netherlands, Belgium, and France
- Company Name
- Flanders Make
- Job Title
- Data Scientist (Kortrijk, Leuven, or Lommel)
- Job Description
- You will analyze complex datasets, build predictive models and develop data-driven prototypes. Your research results will shape the future of decision support in the factory of the future. Flanders Make researchers aim to inspire the industry towards digitization and provide prototype tools. On the topic of data mining we care address the following questions Can we derive insights from time stamps and production logs for decision support tools in the factory of the future? Can we interpret sensor data to predict the behaviour of machines? Use computing power to improve production processes As a data scientist, you will: Research how different data science techniques like pattern recognition and process mining etc.. can be useful for the industry; Follow-up on trends on your topics in both academic research as well as in commercially available solutions; Develop and validate methodologies using innovative demonstrators. For various industrial cases, you: Provide structure and insight into raw data and perform exploratory data wrangling and analysis; Analyse large and diverse datasets from manufacturing processes to identify trends, patterns, and opportunities for optimization; Interact with experts in the operation and control of machines and production systems to understand the production process of a real lifecase; Collaborate with other researchers and company stakeholders to translate theoretical research into practical solutions that are of value for the manufacturing industry; Conduct experiments of data driven techniques on prototypes in lab conditions and manufacturing environments; Collect feedback from experiments and use this to refine and improve your results; Demonstrate your methodology towards companies and showcase them the feasibility of new technologies; Recognize industrial needs and translate this into new project ideas that leveraging data science in an industrial setting. Statistical mind and a passion for technology You have: PhD degree in Engineering (Computer Science, Artificial Intelligence, Mathematics, Statistics…); or equivalent by experience; A mathematical and statistical mind with a touch of “Data Intuition”; Domain knowledge in either data mining (association rule mining, …) or process mining (Petri nets,…).You have put at least one of these concepts into practice as well. Good Familiarity with Deep Learning and/or other Machine Learning techniques; Good coding skills and a track record in at least one general-purpose programming language such as Python, Java, C#, C++; Interest to enhance your communication and data visualisation skills. You are: Passionate about the technology of machines and vehicles; Creative; A good communicator; An active listener who can build sustainable relationships; A fast learner in tooling; eager to work with database query languages like SQL, SPARQL, some machine learning toolkits (Scikit-learn, Mahout, Spark MLlib, PyTorch, TensorFlow, R, KNIME,...), and/or Matlab/Simulink/Octave.