Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 3+ years of experience as a backend or full-stack software engineer, hands-on experience with LLMs including model integration, fine-tuning, and prompt engineering, plus AI agent development. Strong programming skills in Python and TypeScript are required, along with strong analytical and problem-solving skills.
This information is not specified in the job description.
This information is not specified in the job description.
The company thrives in fast-changing environments, emphasizes collaboration with cross-functional teams, and values innovation, sustainability, diversity, and equality of opportunity while driving green networks.
Strong candidates are independent, self-driven team players with experience building scalable production-grade systems, a passion for new technologies, and the ability to learn quickly in fast-paced settings. A B.Sc. in Computer Science or related field is required, with M.Sc. as an advantage.
Provides 5G wireless infrastructure solutions
Parallel Wireless provides wireless infrastructure solutions focused on the 5G market, utilizing OpenRAN technology to create open and interoperable mobile networks. Their products help clients like mobile network operators and governments reduce the complexity and cost of deploying and maintaining wireless networks. By offering both hardware and software components, Parallel Wireless enables flexible and scalable network designs that can adapt to changing demands. The company's goal is to lead the telecommunications industry towards more accessible and affordable 5G solutions.