Machine Learning Engineer

Machine Learning Engineer

Description de l'emploi :

Asenium is looking for Machine Learning Engineer to join our team.  

 

Dans ce rôle vous :

Training for new talents, regular upgrades, and the development of secure future architectures will be integral parts of your daily routine. To tackle ML challenges, problem-solving thinking, and the ability to analyze and implement improvements are essential. The team welcomes proactive and open-minded individuals, if that sounds like you – let’s move forward! 

Livrables que nous attendons :

• Develop and enhance image and point cloud processing solutions using ML and classical algorithms 
• Analyse model performance 
• Implement, manage, and optimize ML modules for efficient and continuous data processing 
• Proactively review, update, and test both personal and teamwork 
• Provide status updates on your and the team’s work 

Le candidat idéal

• Experience in ML, preferably with PyTorch.
• Strong knowledge of Python and Linux.
• Team player personality.
• Desire and ability to identify, motivate, and train young talents to achieve team goals.
• Algorithmic thinking.
• Experience with MLOps (model training, deployment, and maintenance) will be considered as an advantage.
• Ability to argue your viewpoint, create dialogue, and present information in a structured and comprehensible manner. 
• Excellent knowledge of English language (minimum B2). 
• Bachelor’s/Master’s degree in relevant field.
• Minimum 3 years.Must have skills:
  • Understanding of Machine Learning Lifecycle. 
  • Familiarity with machine learning packages like Scikit-learn or TensorFlow etc. 
  • Languages like Python or R (Intermediate level). 
  • SQL or  Other. 

   Key skills: 

  • Strong problem-solving skills and attention to detail.
  • Good communication and collaboration abilities.  
  • Keep current with technical and industry developments. 
  • Communicate findings to all stakeholders. 

   Good to have skills: 

  • Understanding of working with large datasets to derive actionable insights. 
  • Familiarity with DevOps principles. 
  • Basic understanding of Cloud based AI/ML and data analytics tools such as AWS ,GCP, Azure. 
  • Basic knowledge on Data visualization using tools like Tableau or PowerBI. 
  • Able to collaborate with product design and engineering teams to develop an understanding of needs.

Informations complémentaires

• Location: Portugal.
• Working Model: Hybrid (Lisbon, Porto, Braga, Coimbra, Aveiro).
• The CV will only be considered if in English.