Lead Machine Learning Engineer
OpenTeamsFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics, with at least 4 years of hands-on experience in developing and deploying machine learning models. Proficiency in Python, Java, or similar languages, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with search/information retrieval systems are essential. Strong communication and analytical skills are required, along with preferred experience in Node.js, TypeScript, SaaS web applications, and bonus experience with Docker, Kubernetes, or cloud infrastructure.
The Senior Machine Learning Engineer will build and own product features such as predictive analytics and automated risk assessments from conception to deployment. This involves designing and implementing AI solutions using classical ML methods and advanced techniques like LLMs, collaborating with cross-functional teams, writing well-designed and testable code, and creating clear design documentation. The role also includes troubleshooting software bugs, staying updated on AI/ML advancements, and participating in an Agile development lifecycle.
GRC software for audit and compliance
AuditBoard provides Governance, Risk, and Compliance (GRC) software solutions for large enterprises, including many Fortune 500 companies. Its platform automates and manages audit, risk, and compliance programs in real time, enabling teams to collaborate and report from anywhere. The company operates on a Software-as-a-Service (SaaS) model, offering specialized modules for different GRC aspects, which simplifies complex tasks and improves efficiency. AuditBoard's goal is to empower organizations to effectively manage their compliance and risk management needs.