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Machine Learning Engineer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at AxisOps. As a key member of our software development consultancy, you will play a crucial role in developing, deploying, and maintaining machine learning models that drive business value.
Key Responsibilities- Design and implement machine learning algorithms and models to solve complex business problems
- Collaborate with cross-functional teams to integrate ML solutions into our platforms and products
- Develop and maintain high-quality, scalable, and secure software solutions
- Stay up-to-date with the latest advancements in machine learning and AI
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
- Minimum 2 years of industry experience integrating ML algorithms and deep learning applications
- Strong theoretical understanding of machine learning concepts and techniques
- Hands-on experience with various ML techniques and frameworks, including data discretisation, normalisation, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, and reinforcement learning
- Proficiency in Python and experience with DL software frameworks such as TensorFlow and PyTorch
- Understanding of event-driven microservices architecture
- Strong problem-solving skills and ability to work independently and in a team
- Experience with cloud platforms (e.g. AWS, GCP, Azure) and containerisation technologies (e.g. Docker, Kubernetes)
- Experience with natural language processing (NLP), computer vision, or reinforcement learning
- Understanding of DevSecOps frameworks and workflows, including CI/CD pipelines for machine learning
- Understanding of Git, Linux, Docker, and RabbitMQ
- Contributions to open-source projects or publications in peer-reviewed journals
AxisOps is a software development consultancy that partners with innovative businesses in the Fintech and Legaltech sectors to deliver best-in-class IT automation, software development, infrastructure, and compliance services. We value creativity, innovation, and a strong commitment to our mission.
We offer a dynamic and inclusive work environment that fosters growth and learning. If you are passionate about machine learning and AI, and want to be part of a team that is shaping the future of our industry, we encourage you to apply.