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Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Director of Enterprise Data & Analytics Architect will lead the design and scaling of Lilly's AWS-based data and AI platform, focusing on Databricks Lakehouse architectures to support commercial analytics and AI/ML initiatives. This role involves defining data strategy, ensuring governance compliance, and collaborating with cross-functional teams to operationalize data products and GenAI solut
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
The Associate Architect will design and implement data pipelines and hybrid data solutions on Azure, utilizing technologies like Spark, Databricks, and Snowflake. The role involves building ML workflows, managing data migrations, and collaborating with cross-functional teams to modernize data architectures.
The Director of Enterprise Data & Analytics Architecture will lead the design and scaling of Lilly USA's commercial data and AI platforms using AWS and Databricks. This role involves defining data strategy, implementing modern data architectures like Data Mesh and Lakehouse, and collaborating with cross-functional teams to operationalize AI/ML models for commercial intelligence.
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
The DevOps engineer will manage the full lifecycle of microservice-based products, focusing on CI/CD, infrastructure automation, and Linux environment optimization. Key technologies include Docker, GitLab CI, Ansible, Terraform, and Python.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Own the end-to-end lifecycle of algorithm services—design, deployment, monitoring, and optimization—at P&G's Guangzhou office, focusing on optimization algorithms (linear/mixed-integer programming, heuristics) applied to supply chain, along with Agent Orchestration, CLI solutions, and Generative AI.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
Design and productionize multi-agent LLM systems and agentic workflows for eBay's Search & Recommendations team, working with Python, PyTorch, and cloud infrastructure at massive e-commerce scale.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
Leads MLOps automation for a regional bank’s data/analytics team, designing CI/CD pipelines and Kubernetes infrastructure (AWS EKS) to deploy models/data pipelines at scale while mentoring engineers and collaborating cross-functionally.
The Agentic AI Engineer will design and deploy autonomous AI agents and machine learning solutions to modernize operations for the United States Postal Service. The role involves building agent-based architectures using frameworks like LangChain and AutoGen, implementing MLOps pipelines, and ensuring AI governance and performance.
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