Principal Machine Learning Engineer
Mission Lane- Full Time
- Junior (1 to 2 years)
Candidates should possess 3+ years of experience as a Machine Learning Engineer, a Bachelor’s or Master’s degree or PhD in Computer Science, ML, or a related field, proficiency in Python and Java, and experience in NLP, AWS, and relational databases such as MySQL or PostgreSQL. Strong problem-solving skills, leadership abilities, and the capacity for technical innovation are also required.
The Sr/Lead/Principal Machine Learning Engineer will collaborate with cross-functional teams to understand business and user needs and design AI-powered solutions, develop, evaluate, fine-tune, and deploy various AI applications, produce high-quality code and documentation, take on a technical leadership role within teams and the company, stay abreast of emerging technologies, especially in GenAI/LLM areas, proactively discover new approaches to leverage AI, and optimize for quick iterations.
Affordable furnished housing and property management
Tripalink creates modern living experiences by providing affordable, furnished housing options for young professionals and students in urban areas. Their properties range from studio apartments to multi-bedroom homes, all ready for immediate move-in. The company simplifies the leasing process through technology, offering virtual tours and online lease signing, which makes it easy for tenants to secure a home. Tripalink partners with property owners to manage and lease their properties, ensuring high occupancy rates and tenant satisfaction. What sets Tripalink apart from competitors is their focus on building a community among residents through events and activities, enhancing the living experience. The goal of Tripalink is to make finding and moving into a new home seamless and stress-free.