科技職缺
職缺列表
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.
AI Architect
Remote freelance AI Architect shaping engineering architecture for high-scale systems, mentoring cross-functional teams, and driving AI/ML adoption using Python, AWS, Azure, Django, Docker, microservices, and MLOps.
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.
SRE/Cloud Engineer/ Devops
Keeps applications available, scalable, and observable by automating cloud infrastructure, managing infrastructure as code, and leading platform modernization and system migrations. Core tools include Docker, Kubernetes, Terraform, Azure, Grafana, Prometheus, and CI/CD.
Ai/ml Engineer
Onsite AI/ML Engineer building scalable computer vision and machine learning solutions for the ExpertsHub project, including object detection and image segmentation models using Python, TensorFlow, and PyTorch.
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.
Azure Solutions Architect
A leadership role focused on architecting and leading the design of scalable Microsoft Azure cloud solutions, guiding technical teams across IaaS/PaaS/SaaS, integration services, Infrastructure as Code, and DevOps practices for enterprise environments.
python developer
Python Developer building and maintaining scalable Flask/Django applications with machine learning integrations (TensorFlow/PyTorch), GraphQL APIs, and microservices architecture in a CI/CD, Docker, and Kubernetes environment based in Pune, India.
Machine Learning Engineer
Remote Machine Learning Engineer designing and deploying deep learning models (CNN, RNN, LSTM) and MLOps pipelines using Python, Kubernetes, and Apache Spark for distributed training at scale.
Machine Learning Engineer
Hybrid ML Engineer in Alpine County, CA, designing CNN/RNN/LSTM architectures and building MLOps pipelines with distributed training on Kubernetes and Spark. Hourly 6-month contract, up to $50/hr.
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.
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.
Backend App Developer
Backend developer designing and maintaining FastAPI microservices, MCP integrations, and real-time APIs that power AI-driven applications, collaborating with AI, ML, and DevOps teams to ship production-ready services.