Lead Machine Learning Engineer
OpenTeamsFull Time
Senior (5 to 8 years)
Candidates should have a Master’s or PhD degree in Computer Science or a related field, along with at least 5 years of experience in designing, building, and scaling machine learning training and real-time inferencing systems. Proficiency in Python and familiarity with machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch is required. Prior experience using LLMs to build AI agents and excellent written and oral communication skills are also essential.
The Senior Machine Learning Engineer will define the AI/ML roadmap for building LLM-based AI agents and traditional AI/ML models for identity verification, fraud detection, and underwriting. They will own the delivery of key business, product, and technology initiatives, establish and implement processes for model training and testing, and investigate and prototype innovative solutions. Collaboration with other engineers and business teams to improve products and drive growth will also be a key responsibility.
Digital platform for trucking operations management
TruckSmarter is a digital platform that streamlines operations for owner-operators in the trucking industry by offering services like fuel savings, broker listings, and a load board for easy bidding and booking. The platform provides real-time load information and fuel prices, helping truck owners find loads efficiently. Unlike its competitors, TruckSmarter emphasizes excellent customer service, allowing users to speak directly with support staff, and features a user-friendly design. The goal is to support truck owners with reliable and efficient services, especially during challenging times in the industry.