[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fcomputer-vision":3,"seo-content-expertise-computer-vision-global":197,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fcomputer-vision":198,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fcomputer-vision":342},{"total":4,"jobs":5},4,[6,70,131,157],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":29,"processed_job_expertise_skills":43,"processed_job_expertise_skills_labels":44,"max_cpc":69,"actual_cpc":69},88189,"ind-senior-staff-software-engineer-hartford-global-services-private-limited-4","IND Senior Staff Software Engineer",null,false,{"name":13,"slug":14,"logo_url":10},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[16],"Hyderabad",[18],"IN","hybrid",3000000,5000000,"INR","estimated",[25],"FULL_TIME","permanent",{"aws":28,"c++":4,"gcp":28,"git":28,"java":4,"azure":28,"docker":28,"mlflow":28,"python":4,"crew ai":4,"kubeflow":28,"langgraph":4,"semantic kernel":4},3,[30,31,32,33,34,35,36,37,38,39,40,41,42],"Python","Java","C++","AWS","Azure","GCP","MLflow","Kubeflow","Docker","Git","LangGraph","Crew AI","Semantic Kernel",{"llmops":4,"edge ai":28,"ai ethics":28,"statistics":28,"mathematics":28,"generative ai":28,"vector search":4,"explainable ai":28,"bias mitigation":28,"computer vision":28,"data structures":4,"knowledge graph":4,"ai\u002Fml algorithms":4,"graph algorithms":4,"foundation models":28,"prompt engineering":4,"agent orchestration":4,"information retrieval":4,"reinforcement learning":28,"computational neuroscience":28,"model lifecycle management":4,"natural language processing":28,"real-time inference systems":28,"software engineering principles":4},[45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"AI\u002FML Algorithms","Data Structures","Software Engineering Principles","Agent Orchestration","LLMOps","Model Lifecycle Management","Vector Search","Information Retrieval","Graph Algorithms","Knowledge Graph","Prompt Engineering","Natural Language Processing","Computer Vision","Reinforcement Learning","Generative AI","Foundation Models","Real-time Inference Systems","Edge AI","Mathematics","Statistics","Computational Neuroscience","AI Ethics","Bias Mitigation","Explainable AI",1,{"id":71,"slug":72,"title":73,"raw_title":10,"is_featured":11,"company":74,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":77,"processed_country_iso_code_gmaps":78,"processed_home_office":80,"processed_salary_min":81,"processed_salary_max":82,"processed_salary_currency":83,"processed_salary_source":23,"processed_working_hours":84,"processed_employment_types":26,"processed_it_skills":85,"processed_it_skills_labels":86,"processed_job_expertise_skills":108,"processed_job_expertise_skills_labels":109,"max_cpc":69,"actual_cpc":69},76528,"senior-ai-engineer-ocbc-bank","Senior AI Engineer",{"name":75,"slug":76,"logo_url":10},"OCBC Bank","ocbc-bank",[],[79],"SG","onsite",120000,180000,"SGD",[25],{"aws":28,"gcp":28,"git":28,"ray":28,"sql":28,"fsdp":28,"java":4,"ci\u002Fcd":28,"kafka":28,"mlops":28,"nosql":28,"numpy":28,"docker":28,"mlflow":28,"pandas":28,"python":4,"autogen":28,"pytorch":28,"azure ml":28,"kubeflow":28,"deepspeed":28,"langchain":28,"kubernetes":28,"tensorflow":28,"spring boot":28,"restful apis":28,"scikit-learn":28,"microservices":4,"pytorch distributed":28},[30,31,87,88,89,90,91,92,93,33,35,94,95,38,96,97,98,39,99,100,101,102,103,36,37,104,105,106,107],"TensorFlow","PyTorch","pandas","NumPy","scikit-learn","Spring Boot","Microservices","Azure ML","Kafka","Kubernetes","SQL","NoSQL","RESTful APIs","CI\u002FCD","MLOps","LangChain","AutoGen","Ray","FSDP","DeepSpeed","PyTorch Distributed",{"edge ai":28,"agentic ai":28,"lora\u002Fqlora":28,"deep learning":28,"peft pipelines":28,"computer vision":28,"machine learning":4,"model deployment":28,"model monitoring":28,"model versioning":28,"vector databases":28,"agile development":28,"federated learning":28,"prompt engineering":28,"distributed systems":28,"multi-agent systems":28,"distributed training":28,"predictive analytics":28,"recommendation systems":28,"transformer architectures":28,"event-driven architectures":28,"natural language processing":28,"large language models (llms)":28,"retrieval-augmented generation (rag)":28},[110,111,112,113,56,57,114,115,116,117,118,119,120,121,122,123,124,125,126,62,127,128,129,130],"Machine Learning","Agentic AI","Multi-agent systems","Deep Learning","Recommendation Systems","Predictive Analytics","Distributed Systems","Event-driven architectures","Model deployment","Model monitoring","Model versioning","Agile development","Transformer architectures","Large Language Models (LLMs)","Vector databases","Retrieval-augmented generation (RAG)","Federated learning","Distributed training","LoRA\u002FQLoRA","PEFT pipelines","Prompt engineering",{"id":132,"slug":133,"title":134,"raw_title":10,"is_featured":11,"company":135,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":138,"processed_country_iso_code_gmaps":139,"processed_home_office":80,"processed_salary_min":140,"processed_salary_max":141,"processed_salary_currency":83,"processed_salary_source":23,"processed_working_hours":142,"processed_employment_types":143,"processed_it_skills":144,"processed_it_skills_labels":145,"processed_job_expertise_skills":148,"processed_job_expertise_skills_labels":149,"max_cpc":69,"actual_cpc":69},63215,"ai-engineer-1-year-contract-pacs-prudential-assurance-company-singapore-pte-ltd","AI Engineer (1 Year Contract)",{"name":136,"slug":137,"logo_url":10},"Prudential Assurance Company Singapore (Pte) Ltd","prudential-assurance-company-singapore-pte-ltd",[],[79],90000,130000,[25],"contract",{"r":28,"aws":28,"azure":28,"python":4,"pytorch":4,"tensorflow":4,"google cloud":28,"scikit-learn":4},[30,146,87,88,91,33,147,34],"R","Google Cloud",{"nlp":28,"mlops":4,"llmops":4,"computer vision":28,"machine learning":4,"model evaluation":4,"data preprocessing":4,"feature engineering":4,"cloud infrastructure":28,"large language models":4,"research and development":4},[110,150,57,151,101,49,152,153,154,155,156],"Large Language Models","NLP","Data Preprocessing","Feature Engineering","Model Evaluation","Cloud Infrastructure","Research and Development",{"id":158,"slug":159,"title":160,"raw_title":10,"is_featured":11,"company":161,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":164,"processed_country_iso_code_gmaps":166,"processed_home_office":19,"processed_salary_min":168,"processed_salary_max":169,"processed_salary_currency":170,"processed_salary_source":23,"processed_working_hours":171,"processed_employment_types":26,"processed_it_skills":172,"processed_it_skills_labels":173,"processed_job_expertise_skills":179,"processed_job_expertise_skills_labels":180,"max_cpc":69,"actual_cpc":196},76634,"senior-deep-learning-engineer-specialist-prometeia-spa","Senior Deep Learning Engineer -Specialist-",{"name":162,"slug":163,"logo_url":10},"Prometeia SpA","prometeia-spa",[165],"Bologna",[167],"IT",50000,70000,"EUR",[25],{"c++":4,"git":28,"opencv":4,"python":4,"pytorch":4,"gcp vertex ai":28,"amazon sagemaker":28,"pytorch-lightning":4,"azure machine learning":28},[30,32,174,88,175,39,176,177,178],"OpenCV","PyTorch-Lightning","Azure Machine Learning","GCP Vertex AI","Amazon SageMaker",{"clustering":4,"deep learning":4,"generative ai":4,"classification":4,"model training":4,"computer vision":4,"depth estimation":4,"machine learning":4,"model evaluation":4,"object detection":4,"anomaly detection":4,"image segmentation":4,"research publication":28,"scene reconstruction":4,"time series analysis":4,"ml dataset management":4,"self-supervised learning":28,"semi-supervised learning":28,"weak-supervised learning":28,"synthetic data generation":4},[113,57,181,182,183,184,59,185,186,187,188,189,110,190,191,154,192,193,194,195],"Object Detection","Image Segmentation","Depth Estimation","Scene Reconstruction","Time Series Analysis","Synthetic Data Generation","Anomaly Detection","Classification","Clustering","ML Dataset Management","Model Training","Semi-supervised Learning","Self-supervised Learning","Weak-supervised Learning","Research Publication",0.5,{},{"industry":199,"employment_type":213,"expertise_skills":218,"it_skills":274,"salary_currency":336,"processed_working_hours":340},[200,204,207,210],{"key":201,"label":202,"count":203},"insurance","Insurance",2,{"key":205,"label":206,"count":69},"financial services","Financial Services",{"key":208,"label":209,"count":69},"management","Management",{"key":211,"label":212,"count":69},"technology services for financial institutions","Technology Services For Financial Institutions",[214,216],{"key":26,"label":215,"count":28},"PERMANENT",{"key":143,"label":217,"count":69},"CONTRACT",[219,221,223,226,228,230,233,235,237,240,242,244,246,248,250,252,255,258,261,263,266,268,270,272],{"key":220,"label":57,"slug":220,"count":4},"computer-vision",{"key":222,"label":110,"slug":222,"count":28},"machine-learning",{"key":224,"label":225,"slug":224,"count":203},"edge-ai","Edge Ai",{"key":227,"label":113,"slug":227,"count":203},"deep-learning",{"key":229,"label":55,"slug":229,"count":203},"prompt-engineering",{"key":231,"label":232,"slug":231,"count":203},"llmops","Llmops",{"key":234,"label":154,"slug":234,"count":203},"model-evaluation",{"key":236,"label":56,"slug":236,"count":203},"natural-language-processing",{"key":238,"label":239,"slug":238,"count":203},"generative-ai","Generative Ai",{"key":241,"label":189,"slug":241,"count":69},"clustering",{"key":243,"label":65,"slug":243,"count":69},"computational-neuroscience",{"key":245,"label":152,"slug":245,"count":69},"data-preprocessing",{"key":247,"label":46,"slug":247,"count":69},"data-structures",{"key":249,"label":183,"slug":249,"count":69},"depth-estimation",{"key":251,"label":116,"slug":251,"count":69},"distributed-systems",{"key":253,"label":254,"slug":253,"count":69},"distributed-training","Distributed Training",{"key":256,"label":257,"slug":256,"count":69},"event-driven-architectures","Event-Driven Architectures",{"key":259,"label":260,"slug":259,"count":69},"explainable-ai","Explainable Ai",{"key":262,"label":153,"slug":262,"count":69},"feature-engineering",{"key":264,"label":265,"slug":264,"count":69},"federated-learning","Federated Learning",{"key":267,"label":60,"slug":267,"count":69},"foundation-models",{"key":269,"label":53,"slug":269,"count":69},"graph-algorithms",{"key":271,"label":182,"slug":271,"count":69},"image-segmentation",{"key":273,"label":52,"slug":273,"count":69},"information-retrieval",[275,277,280,282,285,287,289,291,293,295,298,301,304,307,310,312,315,318,321,324,326,329,332,334],{"key":276,"label":30,"slug":276,"count":4},"python",{"key":278,"label":279,"slug":278,"count":28},"pytorch","Pytorch",{"key":281,"label":39,"slug":281,"count":28},"git",{"key":283,"label":284,"slug":283,"count":28},"aws","Aws",{"key":286,"label":32,"slug":286,"count":203},"c",{"key":91,"label":288,"slug":91,"count":203},"Scikit-Learn",{"key":290,"label":31,"slug":290,"count":203},"java",{"key":292,"label":38,"slug":292,"count":203},"docker",{"key":294,"label":37,"slug":294,"count":203},"kubeflow",{"key":296,"label":297,"slug":296,"count":203},"tensorflow","Tensorflow",{"key":299,"label":300,"slug":299,"count":203},"gcp","Gcp",{"key":302,"label":303,"slug":302,"count":203},"ms-azure","MS Azure",{"key":305,"label":306,"slug":305,"count":203},"mlflow","Mlflow",{"key":308,"label":309,"slug":308,"count":69},"langgraph","Langgraph",{"key":311,"label":93,"slug":311,"count":69},"microservices",{"key":313,"label":314,"slug":313,"count":69},"mlops","Mlops",{"key":316,"label":317,"slug":316,"count":69},"amazon-sagemaker","Amazon Sagemaker",{"key":319,"label":320,"slug":319,"count":69},"numpy","Numpy",{"key":322,"label":323,"slug":322,"count":69},"opencv","Opencv",{"key":89,"label":325,"slug":89,"count":69},"Pandas",{"key":327,"label":328,"slug":327,"count":69},"pytorch-distributed","Pytorch Distributed",{"key":330,"label":331,"slug":330,"count":69},"pytorch-lightning","Pytorch-Lightning",{"key":333,"label":146,"slug":333,"count":69},"r",{"key":335,"label":104,"slug":335,"count":69},"ray",[337,338,339],{"key":83,"label":83,"count":203},{"key":170,"label":170,"count":69},{"key":22,"label":22,"count":69},[341],{"key":25,"label":25,"count":4},{"total":69,"jobs":343},[344],{"id":345,"slug":346,"title":347,"raw_title":10,"is_featured":348,"company":349,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":353,"processed_country_iso_code_gmaps":355,"processed_home_office":357,"processed_salary_min":358,"processed_salary_max":359,"processed_salary_currency":170,"processed_salary_source":10,"processed_working_hours":360,"processed_employment_types":215,"processed_it_skills":362,"processed_it_skills_labels":10,"processed_job_expertise_skills":363,"processed_job_expertise_skills_labels":364,"max_cpc":371,"actual_cpc":10},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":350,"slug":351,"logo_url":352},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[354],"Frankfurt am Main",[356],"DE","HYBRID",45000,65000,[361],"full_time",{},{"Financial Analysis":28,"Regulatory Compliance":28,"New Customer Acquisition":28,"Private Banking Advisory":28,"Banking Products Knowledge":28,"Customer Relationship Management":28},[365,366,367,368,369,370],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]