Python Developer

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September 5

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Silent Eight

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Artificial Intelligence • Compliance • Fintech

Silent Eight is a company specializing in artificial intelligence solutions designed to combat financial crime. Their flagship platform, Iris 6, uses advanced AI techniques to identify and manage anti-money laundering (AML) risks with speed and precision. With significant investments in research and development, Silent Eight processes billions of transactions annually, providing solutions such as automated alert adjudication, name screening, transaction screening, and continuous monitoring to detect and prevent illicit activities like money laundering and terrorist financing. Their mission is to eliminate the profits from financial crime through the fusion of human expertise and AI technology, aiming to reduce the staggering $2 trillion laundered globally each year.

51 - 200 employees

🤖 Artificial Intelligence

📋 Compliance

💳 Fintech

📋 Description

• Develop and maintain Python-based applications and tools that support our AML solutions • Implement, optimize, and deploy machine learning models, including large language models, to enhance our product capabilities • Collaborate with data scientists and cross-functional teams to integrate machine learning models into production systems • Design and implement data integration, validation, and quality check frameworks • Work on the entire machine learning pipeline, from data preprocessing to model deployment and monitoring • Create quick prototypes and present them to customers and internal stakeholders to drive product development • Analyze and process large-scale structured and unstructured data sets to support machine learning initiatives • Ensure the robustness, scalability, and efficiency of the developed applications and models • Provide technical support and troubleshoot issues related to machine learning models and Python applications • Follow best practices in coding, MLOps, and DataOps • Assist other teams in delivering proof-of-concept projects

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • Strong proficiency in Python programming and related libraries (e.g., Pandas, NumPy, scikit-learn) • Experience in implementing and deploying machine learning models, including large language models (e.g., GPT, BERT) • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers • Experience with data preprocessing, feature engineering, and model evaluation techniques • Proficiency in working with large-scale datasets and SQL • Knowledge of MLOps practices and tools for continuous integration and deployment of machine learning models • Experience in designing and implementing data integration and validation frameworks • Strong problem-solving skills and attention to detail • Excellent communication skills to collaborate with cross-functional teams and present technical concepts to non-technical stakeholders • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies

🏖️ Benefits

• 100% remote work forever • Paid Development Days • In-house training • Lunch-and-learns • Team building events • Equal opportunity employer