Full Stack Developer - ML/AI Focus

Our client is an innovative leader in Healthtech industry. As part of a rapidly growing team, they are looking for a Machine Learning Engineer to contribute to the development of scalable and medical-grade machine learning models. 

Key Responsibilities

• Machine Learning Pipeline Development: Implement, enhance, and maintain machine learning pipelines, ensuring they are efficient, scalable, and user-friendly for cross-functional teams.
• Code Quality: Participate in code reviews, ensuring high standards of clean, reliable, and maintainable code.
• Innovation & Learning: Continuously learn new technologies and contribute to the teams technical growth by tackling new challenges and fostering innovation.
• Agile Development: Work in an agile development environment, clearly communicating results and findings with team members to drive the success of projects.

What We Are Looking For

• Qualifications: Degree in Computer Science or a related engineering field.
• Experience: At least 2+ years of experience in software development.
• Technical Expertise: Advanced proficiency in Python and data technologies, with a solid understanding of computer science principles.
• Technical Skills: Experience with Linux, version control, and container technologies.
• Self-Starter: Strong organizational skills and the ability to work independently while being a collaborative team player.

Nice to Have

• Distributed Systems Knowledge: Familiarity with distributed systems, parallel computing, and optimizing system efficiency and scalability.
• Machine Learning Understanding: Strong understanding of machine learning principles and data science.
• Cloud & MLOps Experience: Exposure to MLOps / DevOps, Kubernetes, and cloud technologies.
• Biomedical Data Experience: Familiarity with biomedical data and its unique challenges.
• Regulated Environments: Experience in software development within regulated environments, especially considering ISO 27001 Information Security criteria.

Not a perfect fit? Dont worry still apply! We hire for many positions and may consider you for other opportunities that match your skills and experience.