Top AI & Machine Learning Jobs

Build and enhance an ML platform supporting the full model lifecycle, scalable training and real-time prediction services, expand NLP capabilities, design data engineering solutions, maintain production reliability, and mentor junior engineers.

As an AI Engineer, you will develop and optimize AI systems for legal tasks, work on integrating models, and establish evaluation frameworks to enhance decision-making capabilities in complex legal workflows.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

Lead design and implementation of enterprise-scale generative and agentic AI architectures. Define foundation model strategies, orchestrate RAG and agentic workflows, build cloud-native MLOps and scalable infrastructure, integrate AI with enterprise systems, mentor teams, and ensure security, compliance, and operational readiness.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The role involves creating and executing plans for the bring-up and characterisation of silicon devices, ensuring they operate correctly in various conditions. The engineer will collaborate with teams to develop automated testing systems, document requirements, and produce detailed reports on characterisation results.

Lead the development of AI systems, collaborating with teams to optimize models, mentor engineers, and ensure software reliability in production environments.

Design, build, and ship ML-powered product features (search, personalization, recommendations, computer vision). Improve ML platform, pipelines, deployment, monitoring, and data infrastructure. Collaborate cross-functionally to define metrics, iterate models, and deliver scalable, reliable ML systems.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.