科技職缺
職缺列表
Product Manager – AI
Freelance onsite Product Manager – AI in Delhi leading AI-driven product initiatives end-to-end, partnering with engineering, design, and marketing on strategy, roadmaps, and agile delivery across generative AI, LLMs, and MLOps.
AI Quality Assurance Engineer
Onsite AI Quality Assurance Engineer in Delhi building and executing test plans, automated frameworks, and regression/load/API suites to validate AI-driven software products, collaborating with cross-functional teams to improve product reliability.
MLOps Lead
Lead MLOps strategy and architecture at Expertshub.ai in Delhi, building scalable AI production systems, defining multi-year technical roadmaps, and mentoring engineering teams while partnering with C-level executives on enterprise ML deployments.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Voice AI Engineer
Builds and owns a production real-time voice AI platform, tuning ASR/LLM/TTS pipelines, WebRTC/SIP telephony, and orchestration frameworks like Pipecat or LiveKit Agents for client deployments end-to-end.
Founding Engineer
Founding engineer at early-stage AI startup Ember AI, building its Enterprise Intelligence platform from 0-to-1. Owns core AI-agent platform development across the full stack, including triggers, tools, LLM/RAG, orchestration, evaluations, and customer-facing workflows.
Applied Ai Engineer
Applied AI Engineer role focused on developing and deploying advanced AI solutions (LLMs, computer vision, GANs) end-to-end. Day-to-day work involves Python/TensorFlow model development, NLP, data analysis, and collaboration with product managers onsite in Los Angeles.
AI/ML Intern
Onsite AI/ML internship in Pune, India building and fine-tuning LLMs and NLP/CV models with Python, PyTorch, Hugging Face, and supporting REST API deployment.
AI/ML Engineer
Designs and implements ML models for NLP and computer vision using Python, PyTorch, Keras, Hugging Face, and related AI frameworks. Develops RESTful APIs for model deployment and collaborates with cross-functional teams on model training, fine-tuning, and optimization.
AI Engineer
AI Engineer in Bangalore designing, developing, and deploying machine learning and deep learning models with PyTorch and TensorFlow, collaborating with cross-functional teams to integrate AI solutions into products.
AI/ML Intern
An AI/ML internship building and fine-tuning generative AI models (LLMs, NLP, computer vision) using Python, PyTorch, and Hugging Face, with deployment via REST APIs.
python developer
Python Developer building scalable Flask/Django applications that integrate TensorFlow or PyTorch ML models, with CI/CD pipelines, Docker/Kubernetes orchestration, and GraphQL APIs. Short-term contract based remotely or onsite in Pune, India.
[Solution] Agentic AI Product Manager
Product Manager leading the Agentic AI transformation of Nota's deployed Vision AI solutions across intelligent transportation, industrial safety, and public safety. Owns product architecture, LLM/VLM roadmap for edge/on-device constraints, KPIs, and expansion of validated products from Korea to global markets.
AI 서비스 QA 엔지니어 (테스트자동화/품질관리)
Onsite QA engineer in Seoul building AI-orchestrated test automation across a React/Next.js/Spring Boot/React Native stack. Designs Playwright-based E2E/regression suites, operates Android/iOS device testing, integrates quality gates into CI/CD, and leads the shift from manual QA to an AI-driven quality model.