AI and Machine Learning Jobs

Design and productionize ML systems, automate model training, build robust data pipelines and support cloud ML platforms on AWS. ...read more

Build SQL data models and ETL pipelines while integrating LLM, vector-search and AI/ML capabilities into production systems. ...read more

Build and scale enterprise-grade Generative AI and agentic applications within Visa’s Corporate Generative AI Technologies team. The role combines software engineering with Python, React/Angular and LLM/GenAI solution development. ...read more

Work as a customer-facing AI Forward Deployed Engineer building and productionizing first-of-a-kind AI applications. The AI FDE team partners with customers and collaborates with engineering, product and developer-relations teams on production AI engagements. ...read more

Develop ML and deep-learning models for fraud, bot and security-threat detection and contribute research-driven product features. Uses Python, PyTorch, TensorFlow, scikit-learn, statistics and cybersecurity techniques. ...read more

Build and maintain scalable enterprise software and quality engineering capabilities for Kaseya’s AI-powered IT management platform. Stack includes Java, Spring Boot, microservices, AWS/Azure, Kafka, Kubernetes and automated testing. ...read more

Build and maintain backend services and shared cloud capabilities for CMT’s Data & Platform group. Uses Python, REST, SQL and AWS while owning features through development, testing and delivery. ...read more

Build and evolve networking/security platform components for Netskope’s cloud and AI security platform. The role uses C++, Python, TypeScript, Kubernetes, SQL and networking protocols within the platform engineering organization. ...read more

Design and maintain security solutions while applying detection engineering, threat hunting, incident response and adversary emulation. The team also builds AI tools for security problems using Python and modern security/observability tooling. ...read more

Own production data pipelines, integrations and warehouse supporting valuation and monitoring for an AI-powered private-capital platform. Stack includes Azure Databricks, Snowflake, SQL, Python, Kafka, Airflow, dbt and CI/CD. ...read more