

BCforward
AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with 5+ years of experience in capital markets surveillance, focusing on model tuning and enhancement. It's a 16+ month remote contract, requiring expertise in Python, NLP, PyTorch, TensorFlow, and big data technologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
624
-
ποΈ - Date
October 16, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#GCP (Google Cloud Platform) #TensorFlow #Compliance #AI (Artificial Intelligence) #Datasets #Cloud #Spark (Apache Spark) #Python #PyTorch #Kafka (Apache Kafka) #NLP (Natural Language Processing) #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Science #Programming #SQL (Structured Query Language) #Big Data #AWS (Amazon Web Services) #Computer Science
Role description
Job Title: AI/ML Engineer
Location: Remote
Duration: 16+ Months (W2 contract)
Description:
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.
Education: Bachelor's or Master's degree in Computer Science, Data Science, Quantitative Finance, or a related technical field.
Required skills and qualifications
β’ 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.
β’ 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.
Preferred qualifications
β’ Experience in the RegTech or FinTech space.
β’ Experience with GPU-accelerated model training and inference.
β’ A track record of contributing to or leading AI/ML projects that have demonstrably impacted a business's bottom line or operational efficiency..
Job Title: AI/ML Engineer
Location: Remote
Duration: 16+ Months (W2 contract)
Description:
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.
Education: Bachelor's or Master's degree in Computer Science, Data Science, Quantitative Finance, or a related technical field.
Required skills and qualifications
β’ 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.
β’ 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.
Preferred qualifications
β’ Experience in the RegTech or FinTech space.
β’ Experience with GPU-accelerated model training and inference.
β’ A track record of contributing to or leading AI/ML projects that have demonstrably impacted a business's bottom line or operational efficiency..