AI and Machine Learning Jobs

Join ServiceNow's Advanced Technology Group to build cloud-based AI/ML solutions and intelligent enterprise experiences. The role covers design, implementation, testing and delivery, using Java or Python, algorithms, OOP and core ML techniques. ...read more

Build the Gemini Enterprise agent platform for Google Cloud, including API and MCP integrations, evaluation and optimization tools, admin capabilities, low-latency code generation and execution, and policy checks; provide technical leadership for large-scale AI systems. ...read more

Apply AI and data-science methods to private-markets workflows, develop analytical and machine-learning solutions, and partner with investment and technology teams on data-driven products. ...read more

Build and deploy classical machine-learning and statistical models for business problems; own feature engineering, model selection, tuning, evaluation and production monitoring using Python, pandas, scikit-learn, SQL/Spark, XGBoost and LightGBM. ...read more

Principal engineer and architecture anchor for Twilio Segment's Data Pipelines platform, designing high-throughput distributed services, resilient routing, reliability, performance and cost efficiency. The posting explicitly asks for hands-on GenAI/LLM engineering experience. ...read more

Set technical direction for AI-native products on the ServiceNow platform. Design LLM-integrated workflows, agentic patterns, prompt and context handling, evaluation pipelines, and production reliability and governance; requires staff-level engineering leadership and hands-on LLM/agentic experience. ...read more

Build and operate backend services for Twilio Segment data pipelines, including high-scale ingestion, routing and distributed data processing. Remote-first role open to candidates in India. ...read more

Lead design and delivery of backend services for Twilio Segment data pipelines, focusing on high-scale ingestion, distributed systems, reliability and technical leadership. Remote-first role open to candidates in India. ...read more

Design and deploy generative and classical ML systems for fraud and financial-crime detection. Build predictive models, agentic investigation workflows, LLM/agent evaluations and production deployments; the employer describes a hybrid NiCE-FLEX work model. ...read more

Build cloud-native, AI-native software around LLMs, agents and retrieval systems. Own model selection, prompt and agent design, data/retrieval architecture, evaluation harnesses, AI safeguards, microservices and production quality; requires 8-10 years of software development and agentic delivery experience. ...read more