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Lead Python & Data Engineer building an AI-driven supply chain platform covering inventory forecasting, procurement automation, and logistics optimization using expert-level Python, time-series forecasting (Prophet, LSTMs, Transformers), OR-Tools/Gurobi, Databricks, and cloud infrastructure.
Senior Data Analytics & ML Engineer at Alcon building AI/ML solutions for manufacturing operations—developing predictive models, MLOps pipelines, and dashboards using machine data, MES/SCADA, and quality data to drive smart factory initiatives.
Lead the design and delivery of an AI-driven supply chain platform, building predictive models for inventory and logistics while mentoring engineers and integrating with ERP/WMS systems.
As an AI/ML Engineer, you'll design, create, and implement complete AI systems that transform client operations, increase data accessibility, and optimize AI/ML systems. You'll work with technologies like TensorFlow, PyTorch, and other ML frameworks to build production-grade solutions for Defense and Intelligence sectors.
Build and deploy agentic AI/ML applications on AWS for national security missions, using Python, large language models, RAG architectures, and agent orchestration patterns to automate workflows and support decision-making.
Build and deploy scalable ML and GenAI solutions at Amgen, turning prototypes into production-ready services using Python, cloud platforms, MLOps and containerization.
Design and deploy production-ready generative AI solutions and autonomous agents using Python, LLMs, and frameworks like LangChain, while partnering with MLOps and business stakeholders at a healthcare company.
Hands-on delivery leadership role embedding AI, generative AI and LLM methods into supply chain analytics workflows at Applied Materials, using SQL, Python, Databricks and enterprise MLOps platforms to turn manual analyses into governed, automated tools.
Leads AI/ML model development and MLOps for predictive, prescriptive, and generative solutions while managing client engagements and program governance.
Data Engineer building on-premise data pipelines from scratch for air-gapped systems, handling structured data, images, video, and sensor/time-series data using Python and SQL.
Build and maintain the data infrastructure and automation for an AI team’s ML platform, focusing on Linux servers, VMs, offline-capable environments, and tools like MLflow/DVC/ClearML.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across ABC News, National Geographic, Marvel, and Disney Studios using AWS, Spark, Kafka, and big data technologies.
VP leading applied AI, data science, and commercial intelligence strategy and teams at Novartis, building AI/ML platforms and GenAI/LLM solutions to drive commercial and business outcomes in pharma.
Design and develop AI-powered applications, agentic workflows, and intelligent search systems using LLMs, RAG, and cloud-native platforms as part of Altera's Quartus AI team.
Build, deploy, and continuously improve production AI features (search, personalization, content generation, copilots) on Microsoft Foundry/Azure AI, grounded in Microsoft Fabric/One Lake data, while establishing MLOps practices and mentoring junior engineers.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across brands like ABC News, Marvel, and Disney Studios using AWS, Spark, Kafka, and deep learning.
The Director of Data Science will lead a team in developing and deploying AI/ML models to improve patient care and operational efficiency at CenterWell. This role involves collaborating with product, engineering, and clinical teams to manage the full AI lifecycle, from prototyping to production, while ensuring adherence to responsible AI standards.
Designs and oversees large-scale data and AI architectures, balancing latency, cost, and scalability for Michelin’s enterprise systems. Focuses on Lakehouse (Delta Lake/ADLS Gen2), ML pipelines (Azure ML/AKS), and data models (PostgreSQL/Snowflake) while ensuring security and compliance.
This role involves developing embedded software and video analytics solutions using modern C++ and Python. The engineer will work on edge AI workloads, MLOps pipelines, and distributed system architectures.
Develops embedded and AI-driven video analytics solutions, integrating C++/Python for Linux-based systems, distributed messaging, and MLOps pipelines while optimizing for edge hardware.
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