AI/ML Engineer

Long Term Contract Remote We are seeking a highly experienced and technically proficient Applied AI/ML Engineer with a strong background in capital markets surveillance to enhance and tune Behavox AI models. This role requires deep domain knowledge, hands-on experience with advanced AI/ML techniques, and the ability to work with large, complex datasets to improve model accuracy, reduce false positives, and ensure regulatory compliance. Key responsibilities • Model Enhancement and Tuning: Work directly on Behavox's proprietary LLM 2.0 and other AI risk policies to refine and improve their performance. • Performance Optimization: Use advanced statistical analysis and machine learning techniques to further reduce alert volumes while dramatically increasing the true positive detection rate for market abuse and misconduct cases. • Data Analysis: Work with terabytes of communications, voice, and transaction data to uncover patterns and train new features for risk detection. • Regulatory Compliance and Auditability: Ensure all model enhancements align with regulatory requirements (e.g., Client, SEC) and maintain the high level of explainability and transparency required by regulatory bodies and client governance teams. • Model Validation and Governance: Partner with internal teams to conduct rigorous model risk and governance testing, including using the Scenario Testing Lab to validate and refine new policy configurations. • Collaboration: Work closely with the Product Management, Data Science, and Engineering teams to translate market needs and emerging threats into robust, scalable AI solutions. • Technical Leadership: Serve as a subject matter expert on AI model behavior and tuning, providing guidance and mentorship to other engineers and data scientists. Required skills and qualifications Experience: 5+ years of hands-on experience as an Applied AI/ML Engineer or Data Scientist, with a focus on model tuning and enhancement in a production environment. • Domain Expertise: Strong, demonstrable knowledge of capital markets, financial trading activities, and compliance surveillance regulations (e.g., market abuse, insider trading, information barriers). Technical Skills: o Proficiency in machine learning frameworks such as PyTorch or TensorFlow, with deep experience in training, tuning, and deploying complex models. o Expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). Experience with transformer architectures and fine-tuning models on domain-specific data is a must. o Experience with big data technologies (e.g., Spark, Kafka) and cloud platforms (GCP, AWS). o Strong programming skills in Python and SQL. • Analytical Abilities: Exceptional problem-solving skills, with a proven ability to perform root cause analysis on model performance and translate findings into actionable improvements. • Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders, including compliance officers and executives. • Education: Bachelor's or Master's degree in Computer Science, Data Science, Quantitative Finance, or a related technical field. Preferred qualifications • Experience in the RegTech or FinTech space. • Experience with GPU-accelerated model training and inference. • A track record of contributing to or leading AI/ML projects that have demonstrably impacted a business's bottom line or operational efficiency.