Top AI & Machine Learning Jobs

Lead technical strategy and hands-on engineering for large-scale data ingestion and processing platforms supporting physical AI and autonomy. Design cloud-native, streaming and batch pipelines for LiDAR, radar, video, imagery, and telemetry. Drive architecture, platform standards, CI/CD, observability, and cross-team agile delivery while mentoring engineering teams and enabling ML, computer vision, and autonomy use cases.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Lead data architecture organization to design and deliver AI-ready data foundations, domains, and data products for Physical AI, autonomy, and digital twins. Define scalable data patterns for collection, ingestion, processing, quality, governance, annotation, and availability to accelerate model development, deployment, and continuous learning across edge-to-cloud systems.

Perform data collection, cleansing, modeling and analysis on large datasets to support dealer inventory and customer service decisions. Apply machine learning, NLP, and text analytics, build scalable data models, create visualizations (Power BI), and collaborate with stakeholders to deliver actionable insights using Python, SQL, Snowflake, Azure, and Dataiku.

Support a manufacturing facility by translating operational problems into data-driven solutions: source and validate data, build SQL/Snowflake data models, perform exploratory analysis, and deliver Power BI reports to enable decisions and improve analytics capabilities.

Lead strategy and delivery of AI- and autonomy-enabled capabilities for the Helios platform. Define platform roadmap and reusable services (intelligent diagnostics, predictive/prescriptive workflows, autonomous decision support). Partner with engineering, architecture, and domain product teams to enable AI-native, API-driven, autonomous workflows, ensure commercialization readiness, and guide cross-functional execution.

Lead the architecture and platform for an enterprise Internal Analytics & AI web gateway on Azure. Own end-to-end application, data, and platform design; drive CI/CD, containerization, observability, security, and onboarding of domain apps. Build reusable AI semantic layers, transition BI workloads to AI-first experiences, and lead a platform team while coordinating governance, compliance, and stakeholder alignment.

The IS Specialist - Procurement & AI Architect will design and govern AI-driven solutions, manage architectural alignment, and provide technical leadership for procurement platforms like Coupa and Guided Buy, ensuring compliance with enterprise standards.

Define enterprise data architecture, canonical models, and data products to enable AI and autonomy. Lead design of large-scale cloud and on‑prem data platforms, streaming/telemetry pipelines, edge-to-cloud integration, and reusable datasets for model development. Influence technical strategy, standards, and cross-functional delivery to accelerate AI model training, validation, and deployment.

Design and implement architectures for digital twins, simulation, and AI Factory operations. Enable scalable AI model development, distributed training, GPU infrastructure orchestration, synthetic data pipelines, MLOps workflows, and integration across simulation and production environments. Guide engineering teams, establish reusable patterns, and accelerate model training, validation, and deployment for Physical AI and autonomy.