Machine Learning Engineer
Location:
Role:
- Industry: Technology
- Job Type: Contract / Freelance
Application Details:
- Date Posted:
Machine Learning Engineer
Machine Learning Engineer - Remote - Freelance (12 months)
Role: Machine Learning Engineer
Location: Stockholm, Sweden
Rate: 75-90€ p/h flexible for the right candidate
Contract: 12 Months
Working Model: Remote
Role Overview:
We're looking for a talented Machine Learning Engineer with a strong background in Computer Vision to join our team. In this role, you'll be instrumental in designing the neural networks that drive our core technology, and you'll take ownership of a key part of our ML stack.
- Design neural networks for Computer Vision applications, focusing on optimizing for low-latency and low-computation systems.
- Build and maintain MLOps pipelines to manage and ensure reproducibility of experiments.
- Contribute to designing and running efficient large-scale data pipelines that integrate into our training infrastructure.
- Stay up-to-date with the latest advancements in machine learning and incorporate them into our technology.
Qualifications:
- Master's degree or equivalent experience in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field.
- At least 2 years of hands-on experience designing and deploying neural networks on various hardware platforms.
- Strong understanding of computer vision algorithms, machine learning, and software development.
- Proficiency in Python programming, along with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras, and familiarity with OpenCV. Knowledge of C++ is a plus.
- Basic understanding of the MLOps stack and data engineering concepts.
- Experience with Cloud Platforms, especially Google Cloud (GCP), is a plus
- Excellent problem-solving skills and a collaborative mindset.
- Strong communication skills in English.
- Experience working in Agile software development environments.
g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.