Google Cloud：40,994 個職缺
瀏覽與 Google Cloud 相關的開放職缺。
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.
Data Scientist
Data Scientist with 4-6 years of IT experience based in Pune, working on complex datasets to build predictive models and LLM-driven AI solutions for retail and quick commerce clients, while mentoring junior team members.
AI/ML Lead Engineer
Remote AI/ML Lead Engineer driving the full ML lifecycle for banking clients, building LLM and agentic AI solutions on Gemini and Amazon Bedrock with strong MLOps practices.
Azure Data Engineer ( Arabic Language)
Data Engineer crafting and maintaining data pipelines using Python and SQL with Azure/GCP, Spark, and Kafka for ETL processes, database management, and integrating machine learning models into data workflows.
Java Developer
Designs and develops scalable backend systems using Java and Spring Boot within a microservices architecture, building RESTful APIs and collaborating with cross-functional teams. Core stack: Java, Spring Boot, Microservices, REST APIs, Kafka/RabbitMQ, Docker, Kubernetes.
Gcp Data Engineer
Builds scalable data pipelines on Google Cloud using Dataflow, Java, Docker, and Kubernetes. Focuses on cloud-native data processing and containerized deployments within GCP architecture.
Full Stack Engineer
Remote Full Stack Engineer focused on backend-heavy work with C#/.NET on Google Cloud, building scalable cloud-native applications using containerized environments and GCP data services like Spanner and Bigtable.
Applied AI Scientist
Applied AI Scientist designing, developing, and deploying machine learning models and NLP solutions in cloud environments using Python, TensorFlow or PyTorch, and Docker for feature engineering and data preprocessing.
Deep Learning Engineer
Designs, implements, and optimizes deep learning models using Python with PyTorch and TensorFlow, deploying and scaling them on AWS and GCP while collaborating with cross-functional teams on production integration.
Machine Learning Engineers
Remote US-based ML engineer designing, building, and maintaining machine learning models and pipelines using Python, Java, TensorFlow/PyTorch, SQL, and AWS/GCP/Azure cloud ML services.
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.
Machine Learning Engineer
Junior Machine Learning Engineer writing Python code with scikit-learn, TensorFlow, Pandas, and SQL to preprocess data, build models, and evaluate them. Hybrid role based in Pune, India, on a short-term freelance engagement supporting cross-functional teams.
Ai Research Engineer
Entry-level freelance AI Research Engineer role owning end-to-end feature development on a Procure to Pay project. Day-to-day work spans writing scalable code, ML model development and deployment, code reviews, mentoring, and cross-functional collaboration with PM/design/QA.
Java Developer
Freelance remote Java Developer building scalable backend systems and microservices, with responsibilities spanning end-to-end feature development, code reviews, and performance optimization, leveraging Java, Spring Boot, Microservices, and REST APIs.
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.