科技職缺
職缺列表
Public Affairs Manager, Regional Data Centers
Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's…
Senior Software Engineering Manager, GCBP Engineering Productivity
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Sr. Software Engineer /Software Engineer II
Build, validate, and ship GHES release artifacts at Microsoft, owning OS/container builds, package generation, integration test environments, and artifact distribution across Azure, AWS, and GCP. Core stack spans Linux, containers, CI/CD pipelines, and languages like Go, Python, C/C++, and Rust.
Cloud Data Engineer
Remote Cloud Data Engineer designing and implementing data pipelines, cloud data architecture, and integration solutions across platforms. Core stack is Salesforce, Salesforce Data Cloud, and Python, with cross-functional collaboration on scalable, high-availability data systems.
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
Ai Engineer
AI Engineer role driving the design, architecture, and implementation of AI solutions and systems, collaborating with product and technical teams to integrate emerging technologies. Core stack spans GCP, LLMs, RAG, RESTful APIs, OCR, and Generative AI.
Conversational AI Engineer
Remote conversational AI engineer building and maintaining AI-driven chatbots and dialogue systems, applying NLP, GenAI, and LLM techniques while partnering with ML teams and advising customers on best practices and demos.
AI Engineer
Remote freelance AI Engineer building ML and GenAI-powered applications (chatbots, dialogue systems, LLM/agentic workflows). Day-to-day work spans Python/JS development, model lifecycle (training, deployment, REST scoring), and cloud (AWS/Azure/GCP).
Senior Enterprise AI Architect
Senior architect designing and governing enterprise AI solutions, leading delivery strategy, architecture, and governance across remote teams using LLMs, RAG, multi-agent systems, and Model Context Protocol on AWS, Azure, and GCP.
Principal Architect
Principal Architect leading delivery strategy, governance, and architecture for IT projects, standardizing execution and mentoring senior staff. Core stack spans AWS/Azure/GCP, Java, SQL/NoSQL, REST/gRPC/GraphQL, AI/GenAI, and full SDLC oversight.
Architect
Principal Architect leading architectural initiatives across IT projects, translating business objectives into actionable plans and establishing reference architectures, governance, and delivery standards. Core stack spans AWS, Azure, GCP, Java, Go, React, Kubernetes, Docker, Terraform, and GenAI.
Lead AI/ML Engineer (GenAI & Architecture)
Lead the design and architecture of advanced AI/ML systems including GenAI, collaborating with data scientists and engineers to deploy ML models in production. Core stack spans Python, TensorFlow, Scikit-learn, and AWS, with deep learning and cloud deployment focus.
ML Engineer
Senior ML Engineer shaping org-wide machine-learning strategy and architecture for mission-critical systems serving millions of users. Day-to-day work spans technical leadership, deep-learning model design and deployment (Python, TensorFlow, scikit-learn) on AWS, mentoring teams, and partnering with C-level leadership on roadmaps.
Lead AI/ML Engineer
Lead AI/ML Engineer defining multi-year technical strategy and architecting mission-critical AI/ML systems for millions of users while mentoring teams and partnering with C-level leadership. Core stack spans Python, PyTorch, TensorFlow, LLMs/GenAI, RAG, and NLP on AWS/GCP/Azure with Kubernetes, Docker, and MLOps/DevOps.
Machine Learning Engineer
A remote Machine Learning Engineer designs and implements ML models, collaborates with data scientists and engineers to integrate algorithms into products, and experiments to improve model performance. Core stack includes Python, TensorFlow, Scikit-learn, deep learning, NLP, and AWS.
Lead AI Engineer
Lead AI Engineer at Expertshub.ai architects and delivers end-to-end AI solutions across classical ML, deep learning, LLMs, and multimodal systems using Python, PyTorch/TensorFlow/JAX, while mentoring an AI/ML team and owning MLOps and production deployment on AWS/Azure/GCP.
DATA Engineer
Data Engineer building and maintaining ETL data pipelines with SQL and Python, integrating ML models and working with Spark, Kafka, and cloud services (Azure, GCP) in Pune.