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Lead AI projects in logistics: identify opportunities, deploy models, and manage PoC-to-production rollouts while training teams on AI workflows.
Build and maintain scalable ETL/ELT pipelines for real-time trading analytics and compliance in a fintech platform, ensuring data accuracy and governance.
Build and ship AI-powered CRM, loyalty, and automation features using LLMs, RAG, and agents; full-stack development with AWS and SQL databases.
Designs and builds AI-powered enterprise platforms, integrating data engineering and systems to deliver scalable, secure solutions with measurable business impact.
Design and build AI-powered platforms for gas services, including optimization and forecasting engines, using React, Azure SQL, Snowflake, and enterprise integrations like Salesforce and SAP.
Build and lead an AI-powered virtual companion using LLMs and agentic frameworks to plan and optimize operations, focusing on prompt engineering, safety, and scalable AI solutions.
Build ML models and data pipelines to optimize travel experiences and revenue using company data, collaborating with engineers and stakeholders.
The Implementation Consultant is responsible for leading the end-to-end implementation, onboarding, and deployment of AI-driven and enterprise software solutions. This role acts as the primary customer-facing…
Build and maintain back-end services in Laravel, Node.js, or Python, integrating legacy systems and optimizing data workflows for enterprise use.
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Design and deploy ML systems and predictive models using Azure MLOps and NLP for client projects.
Design, build, and operate Hilti’s SQL database platform using Azure SQL Managed Instance and Microsoft SQL Server, ensuring secure, scalable, and automated solutions for global business-critical apps.
Build and maintain data pipelines, warehouses, and lakes for a Shariah-compliant fintech; use Python, SQL, AWS, Kafka, and Elasticsearch to deliver clean, secure data for analytics and product teams.
Senior Data Engineer builds scalable Azure Fabric pipelines using PySpark, SQL, and Databricks to deliver real-time data for analytics and AI workloads.
Designs and builds scalable cloud data pipelines and architectures to ensure reliable analytics and business intelligence for a product-focused team.
Build and maintain AI infrastructure for model hosting, training, and serving at scale using Kubernetes, cloud platforms, and GPU orchestration.
Senior engineer building secure, high-throughput web platforms and backend services for health-focused AI and data pipelines.
Designs and builds Azure-based ETL pipelines and data models for a financial-services company, migrating and managing data to support analytics and reporting.
Design and build scalable ETL pipelines, migrate legacy data to Azure, and model databases for a fintech firm using SQL, Oracle, and Azure services.
Maintain and optimize healthcare databases, ensuring high availability, security, and fast query responses for end users.
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