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.
Machine Learning (ML) Engineer
ML Engineer integrating and deploying AI/ML models into production at an AI company, optimizing inference pipelines, managing CI/CD, and building agentic and multimodal (text/vision/audio) workflows using Python, PyTorch, TensorFlow, FastAPI, LangGraph, and Docker/Kubernetes on AWS/GCP/Azure.
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.
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.
Staff Software Engineer, AI Solutions & Platforms
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About the Role At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in…
Lead AI/ML Engineer, Applied AI
Hands-on technical lead architecting and deploying AI/ML, LLM, RAG, and agentic AI solutions for life sciences, genomics, materials science, and healthcare. Core stack: Python, PyTorch, LangChain/LangGraph, Azure OpenAI, plus mentorship of an engineering team.
Software Engineer II, AI Solutions & Platforms
Hands-on software engineer designing and shipping production-grade Generative AI and backend systems (RAG pipelines, agentic workflows, REST APIs) using Python, FastAPI, LangChain/LangGraph, and Azure/OpenAI/Anthropic LLM integrations at Thermo Fisher Scientific in Bangalore.
Full Stack Software Engineer
Full Stack Software Engineer building production AI-powered applications across a Python, JavaScript/TypeScript, Next.js, and Golang stack, designing agentic AI workflows, LLM-powered systems, and scalable backend services deployed with Docker and Kubernetes.
Forward Deployed AI Engineer (Consulting)
Forward-deployed AI engineer at a top-tier global consultancy, designing and deploying AI/ML solutions for clients across APAC. Day-to-day work spans Python/Java/Scala engineering, LLM and generative AI, cloud (AWS/Azure/GCP), MLOps, and data pipelines, with ~50% travel.
Full Stack AI Engineer (InsurTech)
Full Stack AI Engineer at an Insurtech startup designing, developing, and deploying AI/GenAI solutions with LLMs, RAG, AI agents, copilots, chatbots, and intelligent document processing on Azure cloud-native platforms.