AI/ML Developer at Softhouse
Workplace: Stockholm, Sverige
Expires: December 19, 2025
Join Softhouse as an experienced AI/ML Developer to develop impactful solutions. Collaborate with like-minded colleagues who value knowledge sharing in a prestige-free environment. You will help customers plan and realize projects with deliveries ranging from proof-of-concepts to full ML deployment, contributing also to pre-sales activities.
Main requirements:
- Minimum five years experience in AI/ML development using Python, possibly post-master or via PhD in a relevant field, with additional merit for knowledge of libraries like Numpy, Scipy, and Matplotlib.
- Ability and willingness to deliver oral presentations and write reports.
- Extensive knowledge in Machine Learning, Deep Learning, and Computer Vision, especially convolutional neural networks.
- Capability to independently read and understand research articles.
- Experience in some or all of the following: linear algebra, signal processing, algorithm development, statistics, JIRA, and Git.
Responsibilities:
- Assist customers in planning and realizing AI/ML projects through various deliveries and customer assignments.
- Develop proof-of-concept and AI/ML solutions, from data handling to machine learning training and deployment.
- Provide technical expertise during pre-sales and sales processes with potential customers.
- Collaborate within the AI team to discuss challenges and share knowledge.
- Contribute to the development of Softhouse's AI offerings.
Required hard skills:
- AI/ML development
- Python programming
- Machine Learning
- Deep Learning
- Computer Vision (especially CNNs)
- Research article literacy
- Data handling
- ML training and deployment
Recommended hard skills:
- Numpy
- Scipy
- Matplotlib
- Linear algebra
- Signal processing
- Algorithm development
- Statistics
- JIRA
- Git
Soft skills:
- Communication skills
- Listening skills
- Self-driven and motivated
- Trustworthy in customer relations
- Independent working ability
- Collaborative mindset
Coding languages:
- Python
Natural languages:
- English (Proficient)
- Swedish (Working knowledge)
Cultural skills:
- Knowledge sharing
- Work-life balance focus
- Team spirit
- Value-driven behavior (Team, Simplicity, Courage, Passion)
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