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Develop and validate novel ML algorithms for financial risk assessment, drug discovery pipelines, and marketing optimization. Contribute to research publications and implement prototypes using PyTorch, TensorFlow, and cloud ML platforms.

Work directly with enterprise clients across banking, insurance, and pharmaceuticals to understand business requirements, analyze data, and develop ML solutions. Present findings to C-level executives and technical stakeholders.

Build and maintain ML model deployment pipelines, monitoring systems, and automated retraining workflows. Work with Kubernetes, Docker, MLflow, and cloud platforms to ensure model performance across production environments.

Develop AI models for algorithmic trading, risk management, and portfolio optimization for asset management firms. Apply reinforcement learning, time series analysis, and deep learning to financial markets and credit analysis.

Build multi-modal AI systems for medical imaging analysis, document processing in insurance claims, and customer sentiment analysis. Work with transformer models, computer vision architectures, and large language models.

Build scalable data pipelines for multi-industry clients, processing financial transactions, clinical trial data, and marketing campaign metrics. Work with streaming technologies, cloud data warehouses, and real-time analytics platforms.

Develop web applications and dashboards that showcase ML model outputs for enterprise clients. Build interactive analytics platforms, model performance monitoring interfaces, and client-facing ML applications using React and FastAPI.

Design intuitive interfaces for complex ML model outputs, creating dashboards for financial risk analysis, clinical trial results, and marketing campaign optimization. Focus on making AI insights accessible to non-technical stakeholders.

Lead the development of production-grade ML systems for enterprise clients across banking, healthcare, and pharmaceuticals. Drive technical architecture decisions, mentor junior engineers, and collaborate directly with client technical teams on high-impact AI solutions.

Lead data science initiatives and research projects that shape the future of AI applications in finance, healthcare, and marketing. Work closely with C-level executives, publish cutting-edge research, and drive strategic technical decisions across multiple client engagements.