Sr Applied AI/ML Engineer - Min 15 Years of experience Required - (Pls Don't apply below 15 yrs of exp resumes)

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Applied AI/ML Engineer Direct Client

Min 15 years of experience Required. (Pls Don't submit below 15 yrs of exp resumes)

NO STUDENT VISAS (NO OPT / CPT) 100% BG REQUIRED,

Fully 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., FINRA, 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:

• Proficiency in machine learning frameworks such as PyTorch or TensorFlow, with deep experience in training, tuning, and deploying complex models.
• 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.
• Experience with big data technologies (e.g., Spark, Kafka) and cloud platforms (Google Cloud Platform, AWS).
• 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.

Thanks & Regards,

Srikrishna P

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