科技職缺
職缺列表
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.
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.
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.
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.
Full Stack Engineer
Full Stack Engineer driving technical strategy and architecture for systems serving millions of users. Day-to-day work spans JavaScript/Node.js/React development, microservices, distributed systems design, and collaboration with C-level leadership on platform modernization.
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.
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.
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.
Sr. Ai/ml Engineer
Sr. AI/ML Engineer designing and optimizing LLM-based solutions through prompt engineering and experimentation. Day-to-day work involves Python development, managing Jupyter sandbox environments, building CI/CD pipelines, and working with AWS (including Bedrock) cloud infrastructure and Infrastructure-as-Code tools.
Senior Software Engineer
Senior full-stack .NET engineer writing C# and Angular/TypeScript code with SOLID principles, partnering with UX designers, and supporting CI/CD pipelines on Azure DevOps for cloud-based SaaS products.
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).
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.
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.
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.
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.