科技職缺
職缺列表
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.
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.
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.
Azure DevOps Engineer
Role Summary We are seeking an Azure DevOps Engineer to join our project, ExpertsHub, and make a significant impact in the IT industry. This role will focus on enhancing our DevOps practices and ensuring the…
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.
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.
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.
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.
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.
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.
Senior Software Engineer
Design, build, and scale the backend of AI-powered recruiting products, including data-driven applications, REST and WebSocket APIs, real-time pipelines, and third-party integrations. Day-to-day work centers on Python, FastAPI, MongoDB, vector databases, Celery/Redis, and Docker on Kubernetes/AWS.