Job Overview
Company logo: https://media.licdn.com/dms/image/v2/D560BAQFOK2tCkoLbUQ/company-logo_400_400/company-logo_400_400/0/1730896372729/silenteight_logo?e=1749081600&v=beta&t=rSbd5HBc_cEn73NLRe5lvenf3lyZE4c-48r8mghjM5o At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!
As a Python Developer, you will create and manage applications that bolster our AML solutions and refine machine learning models to improve product functionality. You will work closely with data scientists to implement these models in production environments and design systems for data integration and quality assurance. Furthermore, you will handle the entire machine learning pipeline, from data preprocessing to model deployment, ensuring that applications are scalable and efficient.
ResponsibilitiesDevelop and maintain Python-based applications and tools that support our AML solutionsImplement, optimize, and deploy machine learning models, including large language models, to enhance our product capabilitiesCollaborate with data scientists and cross-functional teams to integrate machine learning models into production systemsDesign and implement data integration, validation, and quality check frameworksWork on the entire machine learning pipeline, from data preprocessing to model deployment and monitoringCreate quick prototypes and present them to customers and internal stakeholders to drive product developmentAnalyze and process large-scale structured and unstructured data sets to support machine learning initiativesEnsure the robustness, scalability, and efficiency of the developed applications and modelsProvide technical support and troubleshoot issues related to machine learning models and Python applicationsFollow best practices in coding, MLOps, and DataOpsAssist other teams in delivering proof-of-concept projects
RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong 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 TransformersExperience with data preprocessing, feature engineering, and model evaluation techniquesProficiency in working with large-scale datasets and SQLKnowledge of MLOps practices and tools for continuous integration and deployment of machine learning modelsExperience in designing and implementing data integration and validation frameworksStrong problem-solving skills and attention to detailExcellent communication skills to collaborate with cross-functional teams and present technical concepts to non-technical stakeholdersFamiliarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies