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Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while setting governance and upskilling teams.
Lead the AI and data roadmap for banking clients, translating business needs into GenAI and analytics solutions while ensuring compliance and driving adoption across teams.
Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint. By combining…
Develops and maintains generative AI systems (LLMs, AI agents) to enhance insurance services for AIA’s customers, focusing on workflow design, architecture, and performance optimization for business needs.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Fine-tune and adapt large language models to improve instruction-following and domain-specific performance for production use.
Design and tune large language models (LLMs) to process and generate human-like text, optimizing neural network parameters and training on vast unlabeled datasets.
Designs and optimizes large language models (LLMs) for natural language processing, collaborating with teams to define model specs, experiment with neural architectures, and improve performance on large datasets.
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance for specific contexts.
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
[What the role is] You will be part of the Strategic Engagement and Communications team in the Enterprise Experience Division (EED) responsible for managing and driving stakeholder engagement and strategic…
Build and deploy ML models to optimize healthcare copay programs and extract insights from pharmaceutical data using Python, R, and MLOps tools.
As a Senior Associate Data Scientist at Capital One, you’ll work on operational risk management, using Python, AWS, Spark, and machine learning to analyze large datasets, build predictive models, and deliver insights to senior executives to improve risk management and operational efficiency.
We’re excited about your interest in pursuing the next step in your career with US Foods! Your continuous growth and development is critical to our success. US Foods is committed to working with and providing…
Build and deploy large language models for financial workflows, optimizing training and serving to improve agent efficiency and customer experience in banking systems.
Build and deploy generative AI models using Python, TensorFlow, and cloud platforms; lead GenAI projects from ideation to production for enterprise clients.
Lead data-science projects to optimize supply-chain simulation and fulfillment for a large home-improvement retailer, using Python, SQL, BigQuery, and Tableau.
Leads AI/ML projects end-to-end, from problem definition to deployment, using Python, TensorFlow, and PyTorch to build models for forecasting, optimization, and anomaly detection, then collaborates with engineers and business teams to drive data-driven business decisions.
Designs and optimizes large language models (LLMs) for natural language processing, tuning neural networks on unlabeled text data to improve generation and comprehension while collaborating with engineering teams to integrate models into production systems.
Leads AI/ML engineering for Accenture, designing and deploying large-scale LLM and deep-learning solutions on Azure using Python, .NET, and cloud-native architectures while mentoring teams and driving technical strategy.
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