Software Engineer Machine Learning gn - remote possible
Software Engineer Machine Learning gn - remote possible
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Job Description
We are looking for a dedicated and skilled Software Engineer Machine Learning (gn) to join our Product Development team. This fulltime position is available immediately and offers the flexibility to work from our headquarters in Hasselt Belgium or remotely across Europe.
You will collaborate closely with other engineers product owners data scientists and designers to ensure the machine learning functionalities into our industrial analytics product.
In return we offer you
- The opportunity to work with a dynamic and fastgrowing company in the industrial analytics space
- Work with a global team of experts in data science software engineering and industrial automation
- Competitive salary and benefits package including a company car or mobility budget
- A developer laptop (MacBook Pro)
- A flexible (up to 60%) remote work policy or fully remote outside of Belgium
- A great office at the Corda Campus in Hasselt
- Career growth and development opportunities in a rapidly expanding company
- Joining a visionary technical innovator where you can work with stateoftheart tools
- Fun collaborative and challenging work environment
- Flexible working hours and attention to work/life balance
- An openminded culture where you can be your best you
- Personal Learning and Development budget and guidance
- Company managed and external training opportunities
Tasks
Your Role
- Design and implement the overall software architecture for the machine learning integration aspects of our product
- Collaborate with the product owner data scientists and other stakeholders to understand user requirements and translate them into technical specifications for backend functionalities involving machine learning integration
- Collaborate with architects from other teams to define and implement standards and best practices for machine learning integration across the entire product architecture
- Work closely with frontend engineers to ensure seamless integration of machine learning functionalities into the user interface
- Be responsible for the design and review of backend systems and data access layers
- Stay updated on emerging backend technologies machine learning frameworks (e.g. TensorFlow PyTorch Azure ML) and industry trends and propose improvements to our backend architecture and processes to enhance machine learning integration capabilities
Requirements
Your Skills
- Masters or Bachelors degree in Computer Science Software Engineering or a related field
- Experience as a software architect or in a software engineer role
- Proven experience with machine learning integration concepts and technologies
- Proficiency in Python data structures algorithms objectoriented programming principles and familiarity with machine learning concepts
- Proficiency with Java (Spring Boot) as this is the backbone of our nonML related services
- Experience working in Agile/Scrum environment with knowledge of Agile methodologies
- Solid understanding of relational databases (e.g. MySQL PostgreSQL) and SQL
- Experience with API design principles (RESTful APIs)
- Excellent communication skills allowing you to successfully convey technical concepts as well as architectural decisions to both technical peers as well as functional profiles (product owners/managers customer success etc.)
Benefits
- Firmenhandy
- Firmenlaptop
- Firmenwagen
- Flexible Arbeitszeiten
- Gutscheine und Ermigungen
- Homeoffice
- Kostenloses Parken
About TrendMiner
TrendMiner is an innovative software company based in Hasselt Belgium specializing in industrial analytics. We focus on time series event and asset data with an increasing integration of machine learning. Founded in 2008 as a spinoff from the University of Leuven we develop advanced analytics solutions for the manufacturing industry including the chemical oil gas and pharmaceutical industries. Due to our rapid growth we are always looking for ambitious and enthusiastic new talents.
TrendMiner is an equal opportunity employer. All applicants will be considered for employment without attention to race colour religion sex sexual orientation gender identity national origin or disability status.
Employment Type
Full Time
