AI and Machine Learning Jobs

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

Build backend services for the Databricks AI platform, including MLflow, MLOps and LLMOps capabilities for experiment tracking, model registries, and AI-agent evaluation and observability. The Bengaluru role focuses on scalable, reliable distributed systems. ...read more

Develop large-scale data pipelines and deep-learning architectures, evaluate and fine-tune ML models, build agentic workflows, and maintain production ML/MLOps pipelines. Requires 2-6 years plus Python, PyTorch/TensorFlow, sequence/time-series modeling and deployment experience. ...read more

Backend engineering for Target's retail and commerce platforms, with GenAI/LLM integration. Build APIs and services using Java, Python or Kotlin, distributed systems, messaging, SQL/NoSQL and cloud technologies. ...read more

Lead architecture and lifecycle of enterprise AI agents and MCP servers. Build LLM/RAG integrations, agentic workflows, prompt/context and memory management, evaluations and production observability; requires 6+ years with production LLM/MCP experience. ...read more

Implement enterprise AI agents and MCP servers, integrate LLM/RAG capabilities into AI-native applications, and build prompt/model evaluation and observability. Requires 4+ years of software engineering and cloud/container experience. ...read more

Develop software solutions that integrate ML models into GE Vernova products and internal processes. Design scalable systems with data scientists and build production software using Python, JavaScript, AWS and ML libraries; requires 3-5 years. ...read more

Senior engineering leader for payment-risk and security platforms; drive Java, cloud and NoSQL architecture and integrate GenAI capabilities into mission-critical, high-scale systems. Requires 18+ years and senior technical leadership. ...read more

Lead the India AI/ML engineering team building and deploying ML models, LLM-powered automation and agentic systems. Work with Python, PyTorch/TensorFlow, Hugging Face, cloud platforms, Spark and databases; requires 5+ years. ...read more