科技職缺
職缺列表
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.
Software Architect
Software Architect on a 6-month remote contract, providing technical leadership and designing scalable Azure-based solutions with microservices, IaC (Bicep/ARM), CI/CD, and GenAI. Bridges business and technical requirements while guiding engineering teams.
Azure Architect
Azure Architect designing and managing secure, scalable cloud solutions on Microsoft Azure, including migration, infrastructure, IaC, and CI/CD pipelines, while driving technical innovation and evaluating AI/ML and Gen AI adoption across cross-functional teams.
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.
GenAI Developer
Remote GenAI Developer leading architecture and design of advanced generative AI systems at scale, driving innovation strategy, mentoring engineering teams, and collaborating cross-functionally within an IT services setting.
GenAI Developer
Remote freelance GenAI developer building applications that leverage large generative models for content creation, transformation, and analysis (chatbots, content generators, semantic search). Core stack: Python, deep learning, LLMs, LangChain, and cloud architecture.
Data Engineer
Remote Data Engineer designing, implementing, and maintaining scalable data pipelines and architectures while collaborating with data scientists and analysts on data modeling, storage optimization, and data quality across cross-functional teams.
Full-Stack AI Engineer
Full-Stack AI Engineer at SentientX AI Innovators (via Expertshub.ai) building scalable AI-driven applications: React/Next.js/Tailwind frontends, Python/FastAPI backends, PostgreSQL/Supabase databases, ML model integration, vector search, and media watermarking/fingerprinting systems.
Snowflake Data Engineer
Remote Snowflake Data Engineer designing scalable data pipelines and optimizing Snowflake-based data solutions to drive analytics and business insights. Core stack: Snowflake, SQL, Python, ETL, and cloud data warehousing.
AI/ML Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
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.
Senior Ai Engineer
Senior AI engineer building conversational AI systems, chatbots, and LLM applications using AWS Bedrock/Azure OpenAI, LangChain, LangGraph, LlamaIndex, RAG, and agent orchestration in Python on AWS/Azure.
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.
Software Development Engineer In Test
Remote SDET role validating healthcare imaging systems by building and maintaining automated test frameworks in C# and Selenium, with API/UI automation against HL7 and DICOM healthcare data standards.
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.
Ai/ml Engineer
Freelance remote AI/ML Engineer designing and implementing machine learning algorithms, optimizing models for performance, and collaborating with cross-functional teams. Core stack includes statistical modeling, REST APIs, NLP, deep learning, and cloud ML platforms (AWS SageMaker, Azure AI).