科技職缺
職缺列表
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.
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.
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.
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
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.
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.
Product Manager – AI
Freelance onsite Product Manager – AI in Delhi leading AI-driven product initiatives end-to-end, partnering with engineering, design, and marketing on strategy, roadmaps, and agile delivery across generative AI, LLMs, and MLOps.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Founding Engineer
Founding engineer at early-stage AI startup Ember AI, building its Enterprise Intelligence platform from 0-to-1. Owns core AI-agent platform development across the full stack, including triggers, tools, LLM/RAG, orchestration, evaluations, and customer-facing workflows.
AI/ML Intern
Onsite AI/ML internship in Pune, India building and fine-tuning LLMs and NLP/CV models with Python, PyTorch, Hugging Face, and supporting REST API deployment.
AI Engineer
AI Engineer in Bangalore designing, developing, and deploying machine learning and deep learning models with PyTorch and TensorFlow, collaborating with cross-functional teams to integrate AI solutions into products.
AI/ML Intern
An AI/ML internship building and fine-tuning generative AI models (LLMs, NLP, computer vision) using Python, PyTorch, and Hugging Face, with deployment via REST APIs.
python developer
Python Developer building scalable Flask/Django applications that integrate TensorFlow or PyTorch ML models, with CI/CD pipelines, Docker/Kubernetes orchestration, and GraphQL APIs. Short-term contract based remotely or onsite in Pune, India.
[Solution] Agentic AI Product Manager
Product Manager leading the Agentic AI transformation of Nota's deployed Vision AI solutions across intelligent transportation, industrial safety, and public safety. Owns product architecture, LLM/VLM roadmap for edge/on-device constraints, KPIs, and expansion of validated products from Korea to global markets.
AI 서비스 QA 엔지니어 (테스트자동화/품질관리)
Onsite QA engineer in Seoul building AI-orchestrated test automation across a React/Next.js/Spring Boot/React Native stack. Designs Playwright-based E2E/regression suites, operates Android/iOS device testing, integrates quality gates into CI/CD, and leads the shift from manual QA to an AI-driven quality model.