Senior ML Engineer II

Why This Role is Exciting

We are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management. This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, etc. You will apply your expertise to build advanced AI/ML solutions, enhancing our AuditBoard product portfolio with features like predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights. If you're excited about leveraging modern AI/ML techniques to transform the industry, this role is for you. Join our customer-focused team dedicated to continuous learning and innovation.

Responsibilities

• Build, ship, and own product features end-to-end such as predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights.
• Work with engineers, designers, and product managers to create high-performing product features.
• Design and implement AI solutions using classical ML methods and advanced techniques like LLMs
• Write well-designed, maintainable, and testable code
• Write clear and well-defined design documentation
• Troubleshoot, debug, and resolve software bugs
• Be product-minded and think about the customer
• Stay updated on AI/ML advancements and explore new techniques and tools.
• Participate in an Agile software development life cycle
• Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etc

Attributes of a Successful Candidate:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
• 3-4 years of hands-on experience in developing and deploying machine learning models
• Ability to write scalable production-quality code
• Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
• Excellent programming skills in Python, Java, or similar languages
• Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
• Familiarity with search/information retrieval, and ranking systems
• Strong communication skills and ability to work collaboratively
• Analytically minded with a focus on metrics and evaluation
• Motivation to work hard and always be learning

Preferred

• Experience with Node.JS and modern ES6 or TypeScript
• Experience working on SaaS web applications
• Basic understanding of distributed systems
• Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure