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Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Data Scientist
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Lead data scientist, fraud modelling
Lead a fraud-detection team building ML models to detect and prevent fraud in an affiliate-marketing platform, using Python, SQL, and graph-based techniques to protect brands like Walmart and Uber.
Data Scientist
Build and improve alternative credit-scoring models using Python, SQL, and ML libraries to assess borrower risk for a fintech startup.
Senior Consultant, Forward Deployed AI Engineer
Lead AI/ML consultancy engagements, designing and deploying production-grade agentic systems and ML pipelines for enterprise clients using Python, cloud platforms, and modern AI frameworks.
Member of the Technical Staff — AI/ML
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Senior Specialist Machine Learning Engineer
Design and deploy scalable ML systems in production, owning MLOps pipelines, real-time inference, and model monitoring across Vodafone’s markets.
Senior Machine Learning Engineer
Build and scale AI/ML systems for semiconductor manufacturing, combining classical ML with generative AI to detect anomalies, predict maintenance, and automate test plans using AWS Bedrock and RAG pipelines.
Senior Machine Learning Engineer
Build and operate large-scale ML pipelines that turn raw data into trusted business intelligence using Python, Spark, and cloud platforms like Azure and Databricks.
Machine Learning Engineer (Data Mining) - Global E-Commerce
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Cybersecurity and AI Software Engineer
Build AI-powered cybersecurity tools like agentic copilots for vulnerability triage and incident response, using RAG, LLMs, and traditional ML while ensuring safety and compliance.
Data Scientist (AI/ML) | Contract | Financial Services
Design and deploy AI/ML models (Generative AI, NLP, recommendations) for financial services, building scalable pipelines and driving end-to-end solutions from modeling to production.
Machine Learning Engineer
Build and scale AI/ML systems for semiconductor manufacturing and analytics, combining classical ML with Generative AI on AWS Bedrock to deliver anomaly detection, predictive maintenance, and LLM-powered workflows.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
Data Engineer - United Overseas Bank
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Manager, Data Engineer, Group Technology & Ops
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Staff Engineer Data Scientist
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Manager, Data Engineer, Group Technology & Ops
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.