About the role

Machine Learning Engineer enhancing Optro's audit and risk management solutions. Utilizing modern AI techniques and collaborating with cross-functional teams for innovative product features.

Responsibilities

Build, ship, and own product features end-to-end
Work with designers, and product managers to create high-performing product features.
Apply a range of techniques—from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)—with a strong focus on reliability, performance, and maintainability
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

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
8 plus 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
Preferred: Experience working on SaaS web applications
Preferred: Basic understanding of distributed systems
Preferred: Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure