About Temelion
The construction sector is one of the world’s largest industries, yet has still massive untapped digitization potential. Temelion’s mission is to revolutionize how construction projects are delivered by leveraging AI for building design.
Temelion is an AI copilot for automated building engineering design, which assists building engineers during their workflow and helps generate high quality, flexible, and low-carbon designs. The product’s fine-tuned AI models specialize in solving business problems such as specifications management, functional design, design verification and generation of 3D models.
About the role
The Junior Machine Learning Engineer role offers the successful candidate the opportunity to work at the heart of Temelion’s agentic AI-based platform.
From developing and putting in production state-of-the-art Knowledge Graph and LLM technologies, to comparing, benchmarking and optimizing our systems, the candidate will embark on an exciting journey !
The role offers a balanced mix of Data Science, Data Engineering and ML.
The person in this role will be working in close collaboration with Temelion tech and product team, while benefiting from supervision and growth opportunities with senior members of the team.
Responsibilities
Understand Temelion client problems and provide data insights and recommendations
Curate, assemble and maintain high-quality datasets
Implement, design and test prototypes
Implement, design and test AI models (in-house, fine-tuned or external)
Implement, design and test agentic workflows that use internal and external tools
Contribute to designing an easy-to-use and client-friendly human/machine UX
Maintain a constant technology watch on AI (LLM in particular) to benchmark technologies
About you
If you’re looking to be one of the first ML engineers to join a fascinating AI startup project, and want to learn and grow your skills, please talk to us !
The successful candidate shall have passion for all data challenges (acquisition, transformation, processing, etc.), for solving hard business problems using state-of-the-art AI models and tools.
Working in an agile, innovative and fast-paced environment is a must.
Skills required
You have 2+ years experience as an ML engineer
You have a solid expertise with Python and Pytorch (or similar frameworks like scikit-learn / Tensorflow / Keras)
You have a working experience and knowledge of LLMs and Agents (APIs, model benchmarks, fine-tuning datasets)
You have a solid theoretical background (mathematics, machine learning, deep learning, statistics, etc.)
You are a problem solver: you like finding impactful solutions to complex problems
Having trained or fine-tuned deep learning models is a plus
Experience with cloud stack (AWS or GCP) is a plus
45-mn preliminary call with Temelion CTO
Home technical case study + presentation to founders
45-mn call with COO
45-mn call with CEO
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