Top AI & Machine Learning Jobs

Lead and grow a data science team to design, develop, and deploy statistical models and data pipelines. Oversee data acquisition, database design, advanced analytics (R, SAS, MATLAB), and production code (SQL, PHP/Python). Partner with stakeholders to define KPIs, communicate insights, manage project priorities, hiring, training, and performance management.

Design and scale manufacturing data ecosystems and production-grade analytics. Lead AI/ML modeling, agentic workflows, and automation pipelines to solve yield, maintenance, and supply-chain problems. Define data architecture, enable real-time analytics and digital twins, translate insights to business outcomes, and mentor cross-functional teams while communicating results to senior leadership.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

The Technical Lead - Algorithm Developer will drive algorithm development projects from concept to deployment, focusing on image processing and integrating classical and deep learning methods for semiconductor inspection.

The Process Engineer will develop AI techniques for image analysis, design software for machine vision, and evaluate algorithms in the Photonics Industry.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Hands-on techno-functional specialist to design, build, and integrate AI/LLM-driven features into enterprise project management systems (Jira, Asana, Smartsheet). Responsibilities include prompt engineering, agent automation, ML integration, SDLC governance, tool integration, stakeholder adoption, and leading end-to-end delivery of AI-enabled PPM/portfolio capabilities.

Lead design, develop, and deploy scalable computer vision and AI algorithms for micron-level defect detection, measurement, and classification. Drive end-to-end projects from POC to production, optimize image processing (stacking, FFC, tiling), integrate with hardware acquisition systems, mentor engineers, and ensure solution quality via testing and KPI tracking.

Lead an India-based algorithms team to develop AI/ML, computer vision, and image-processing solutions for X-ray CT inspection. Own XCT/APX algorithm architecture, drive 3D reconstruction, feature detection, defect analysis, and metrology. Transition research into production-ready software, optimize performance (multithreading/GPU), collaborate with hardware/systems/global teams, and mentor engineers.

Develop algorithmic solutions in e-beam inspection, focusing on computer vision and machine learning. Involves end-to-end delivery to customers.