AI and Machine Learning Jobs

Own the model layer for a generative-media platform. Extend state-of-the-art image, video, audio, and 3D models; build fine-tuning APIs and reusable model abstractions; optimize inference for latency, throughput, and GPU utilization. The role bridges generative research and scalable production systems. ...read more

Principal-level AI engineering role requiring 14+ years, focused on GenAI/LLM applications and agentic workflows, Python services, enterprise integrations, and model reliability, grounding and safety evaluation. ...read more

Build production Agentic AI and LLM applications using Python or TypeScript, REST/GraphQL APIs, LangChain, LlamaIndex or LangGraph, vector databases, RAG and cloud AI platforms. The posting requires 4+ years overall experience and hands-on agentic-AI deployment. ...read more

Lead Commercial and Supply Chain analytics for APAC; deliver Power BI dashboards, semantic models, data products, advanced analytics and AI-enabled capabilities using Databricks, APIs and cloud data technologies. Requires 10–12 years of experience. ...read more

Lead engineering for Diagrid’s Dapr open-source runtime and distributed-systems capabilities, collaborating with the India team on production-grade cloud-native software. ...read more

Build full-stack software for Diagrid’s cloud-native developer platform, contributing to application experiences and the backend services that support distributed systems. ...read more

Lead architecture and implementation of agentic AI for network and security operations, including autonomous workflows and production integrations for enterprise-scale systems. ...read more

Combine Databricks-based data engineering, advanced analytics and practical ML with Splunk engineering for cybersecurity telemetry. Work includes Python, SQL, PySpark, anomaly detection, classification, dashboards and production data pipelines; approximately 10 years’ experience is targeted. ...read more

Design and ship production LLM and agentic-AI systems for cybersecurity products, including model selection, fine-tuning, inference optimization, evaluation gates and technical architecture. The role targets 8+ years of software or ML engineering experience. ...read more

Lead data-science work for supply-chain and operational decision-making, applying statistical modeling, experimentation and predictive analytics to improve business outcomes. ...read more