Senior AI Engineer

Stack

Responsibilities

• ▹Identify and implement opportunities where AI can create tangible value for customers in their compliance journey
• ▹Design and develop production-grade AI solutions that automate complex compliance tasks
• ▹Build and optimize advanced NLP models for regulatory document analysis and interpretation
• ▹Contribute to finding the right ML framing of compliance challenges
• ▹Create scalable AI systems that can handle diverse regulatory requirements across different markets
• ▹Take algorithms from proof-of-concept to production, ensuring robustness and scalability
• ▹Establish processes for large-scale data analysis, model development, validation, and deployment
• ▹Build and maintain ML infrastructure that can evolve with growing needs
• ▹Implement monitoring systems to track model performance and compliance accuracy
• ▹Ensure AI solutions maintain high standards of explainability and ethical considerations
• ▹Work closely with product managers and compliance experts to translate business requirements into technical solutions
• ▹Partner with engineering teams to integrate AI capabilities into the core platform
• ▹Contribute to technical documentation and knowledge sharing
• ▹Participate in architecture discussions and technical decision-making

Requirements

• ▹5+ years of hands-on experience in production environments, with a strong industry track record of designing and architecting distributed systems
• ▹Proficient in Python with extensive experience developing and deploying production-grade software, utilizing machine learning frameworks such as TensorFlow, PyTorch, etc.
• ▹Deep understanding of engineering and infrastructure best practices with a focus on the machine learning software development lifecycle
• ▹Extensive experience with modern deep learning techniques, LLMs, and advanced NLP architectures building data intensive applications
• ▹Experience with techniques for optimizing ML inference performance
• ▹Hands-on expertise in designing, developing, and managing batch and real-time ML pipelines/workflows for processing complex structured and unstructured data on AWS, utilizing SageMaker, ECS, EKS, Airflow and related tools
• ▹Excellent communication skills, with the ability to collaborate effectively within engineering teams and across various disciplines

Soft skills

About the company

Compliance & Risks provides global companies with the tools, insights, and expertise to build safe, sustainable products; with two decades of experience it helps monitor, assess, and prove compliance.