科技職缺
職缺列表
Consultant – AI, LLM/SLM & Scalable ML Systems
Remote AI Consultant guiding a team to build and deploy scalable ML/LLM/SLM applications end-to-end, covering model training (RoPE, MoE, RLHF, vLLM), RAG pipelines, custom agents, multimodal AI, and production MLOps on Kubernetes/GPU clusters.
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
Senior Software Engineer
Design, build, and scale the backend of AI-powered recruiting products, including data-driven applications, REST and WebSocket APIs, real-time pipelines, and third-party integrations. Day-to-day work centers on Python, FastAPI, MongoDB, vector databases, Celery/Redis, and Docker on Kubernetes/AWS.
Ai Architect
Hands-on AI Architect designing and deploying production-grade Generative AI systems on AWS, including RAG pipelines, chatbots, and AI assistants using LLMs (GPT, Claude, Mixtral), vector databases, and AWS services. Onsite 3 days/week in Raleigh.
Applied AI Forward Deployed Engineer
Remote Applied AI Forward Deployed Engineer who builds production-grade apps and infrastructure with TypeScript, PySpark, React, and Python while deploying customer implementations on Palantir Foundry and AIP, including data integration workflows, Ontology models, APIs, and applied AI pipelines.
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
AI Solution Architect
Designs and implements scalable AI solutions, leads architecture decisions, mentors junior team members, and partners cross-functionally with product and business stakeholders. Core tech: Python, PyTorch, TensorFlow, AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, LLM orchestration, RAG, and vector databases.
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.
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/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.
[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.
[클립아트코리아] 생성형AI 서비스 정책·UX·비즈니스 기획자
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