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AI Engineer (3년 이상)
주요업무 AI 비전 검사 시스템 개발: 제조 환경의 희소 불량 데이터 대응을 위한 Anomaly Detection, Segmentation, Classification, Object Detection 모델 개발 및 재학습·현장 배포 파이프라인 운영 Rule-based & 하이브리드 검사 로직 개발: OpenCV 기반 이미지 전처리 및 캘리브레이션·노이즈 제거, 딥러닝과…
머신비전 경력직 채용 공고 (청주)
주요업무 2차전지 제조설비 머신비전 검사 S/W 관리 및 고객 대응 계측, 결함 검출·분류를 위한 영상처리, 딥러닝 기반 비전 알고리즘 개발 및 최적화 지원 카메라, 조명, 렌즈 등 비전 하드웨어 선정 및 최적 세팅을 통한 품질 확보 제조설비 제어 시스템과의 연동 및 실시간 검사 모듈 검증 보완 FAT/SAT를 위한 품질 확보 업무의 전반적인 수행 Vision (상용, 개발) 프로그램…
기업보안 담당자 (과장~차장)
주요업무 회사 보안 담당으로서 보안 정책 수립, 솔루션 도입, 운영 및 모니터링 NIST CSF 프레임워크에 기반한 보안 수준 관리 및 개선 침해 시도 모니터링 및 대응 내부정보 유출 모니터링 및 대응 위협 정보 수집, 보안 취약점 점검, 사고 대응 자격요건 보안 업무 경력 8년 ~ 15년 (과장~차장급) 기업용 보안 솔루션 구축 및 운영 경험 : 네트워크, 서버, Endpoint,…
제품보안 담당자 (과장~차장)
주요업무 의료기기 제품 보안 담당으로서 제품 보안 운영 모델의 구축 및 운영 국내외 규제/인증 기관의 사이버보안 요구사항 분석 제품 보안 요구사항 정의, 제품 개발팀 전달, 설계 검토 및 승인 제품 보안 구현 내역 테스트 및 검증 위협 정보 수집, 제품 보안 취약점 점검, 사고 대응 인허가 제출용 사이버보안 기술 문서 작성 자격요건 보안 업무 경력 8년 ~ 15년 (과장~차장급) 임베디드…
Senior Software Engineer
Senior engineer on Rakuten Asia's AI & Data Division optimizing LLM inference at scale: profiling and extending engines like vLLM, SGLang, and TensorRT-LLM, writing CUDA/Triton GPU kernels, and deploying autoscaled GPU inference on Kubernetes. Core tech: Python, C++, CUDA, Triton, Kubernetes.
Robotics Software Engineer
Software engineer (1–2 years' experience) building machine learning and computer vision features for Dyson's intelligent products in Singapore. Day to day: developing and deploying ML/CV models across embedded, edge, cloud, and app platforms, maintaining data pipelines and CI/CD using C++, Python, OpenCV, and PyTorch.
Analista de Dados Sênior
Senior Data Analyst at Grupo Suno (an investment research/solutions ecosystem) in São Paulo, onsite. Leads the AI/predictive modeling agenda: builds and deploys ML models (classification, regression, time series, churn, LTV), runs rigorous A/B tests, integrates models via APIs, builds quick dashboards, and evaluates LLM/RAG tech. Core stack: advanced Python, SQL, ML libraries, FastAPI/Flask, Strea
AI/ML Engineer
Builds and deploys production ML, GenAI, and agentic AI applications on AWS to automate healthcare billing workflows, detect fraud, and extract insights from unstructured medical claims. Core stack: Python, PyTorch/TensorFlow, AWS Bedrock/SageMaker, RAG/OCR pipelines, Docker/Kubernetes, and IaC with CDK/Terraform.
Staff Software Engineer - Machine Learning
Staff-level ML engineer at Capital One UK (London, hybrid — three days onsite) who owns ML/AI technical strategy across teams, drives MLOps standards, and consults on AI use cases. Core tech: Python, PyTorch/TensorFlow, AWS/Azure/GCP, and Gen AI tooling such as LangChain, LangGraph, and RAG.
Data Engineer
Data Engineer at Zurich Insurance building scalable ingestion/storage pipelines and reusable data assets into a cloud-based Lakehouse, while operationalizing agentic AI/ML models. Core stack is Azure (Databricks, Fabric, Data Factory, Cosmos DB, Azure ML) plus AWS, vector stores, Snowflake/Redshift, and ML/LLM tooling.
Senior ML Engineer
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Senior Engineering Manager, Data Science
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Consulting Field Solutions Architect - AI/Analytics - North Central Enterprise
Pre-sales Field Solutions Architect covering the North Central US enterprise territory: enabling account teams and channel partners, running demos/POCs, and evangelizing Pure Storage's platform (FlashArray, FlashBlade, Portworx) in Analytics & AI data pipelines (Splunk, Kafka, Spark, Snowflake, PyTorch). Requires 8+ years pre-sales, residency in six listed Midwest states, and 50–60% travel.
ML Systems Engineer
ML Systems Engineer at Final, an HFT/trading-algorithms firm in Ramat Hasharon, building and optimizing proprietary deep learning systems for live trading. Day-to-day involves running DL models on large GPU clusters and adapting them for production serving, using PyTorch, Python/C/C++, and custom CUDA/Triton kernels.
Senior Machine Learning & Data Engineer (m/w/d)
MLOps/ML engineer at Airbus Defence and Space's new Backnang (Stuttgart area) center, building pipelines and the MLOps platform to train, evaluate, version, and deploy ML models for autonomous UAV systems. Core stack: Python, PyTorch, ONNX, Kubernetes, GitLab, MLflow, Kubeflow in multi-cloud and air-gapped clusters.