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Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial…
Overview At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible. We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our…
Product area The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency,…
Serves as the lead functional consultant for Icertis AI/ML contract intelligence implementations — running discovery workshops, configuring AI extraction prompts, validating contract analytics accuracy, and driving customer go-lives. Core work spans CLM, legacy contract migration, and AI-powered analytics for enterprise customers.
As an "AI/ML ASIC Design and Implementation Automation Intern" in our Advanced Chip Engineering (ACE) organization, you will learn in a dynamic environment where we explore and innovate on methodology, flows,…
Join NXP's Innovation R&D team in the heart of Silicon Valley and help shape the future of automotive radar, AI, and autonomous perception systems. As an intern, you will work alongside industry experts…
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in…
A network engineer role maintaining, developing, and optimizing data center network infrastructure that supports AI/ML GPU clusters in Poland. Day-to-day work covers VXLAN/EVPN/BGP networking, Linux network configuration, automation with Ansible and Terraform, Bash/Python scripting, and monitoring with Zabbix, Prometheus, or Grafana.
AI/ML Engineer at Export Development Canada (EDC) designing, deploying, and scaling production ML and GenAI solutions in an enterprise environment using Databricks on Azure with MLOps and CI/CD. Hybrid role based at the Ottawa HQ or Toronto/Montreal hubs, with relocation support and a focus on responsible AI.
Senior Computer Vision Engineer building deepfake and liveness detection models for large-scale facial/video systems. Owns models end to end — designing, training, and optimising CNNs, attention-based and vision-language models for cloud and on-device deployment — using Python, PyTorch/TensorFlow/JAX, AWS, and automated MLOps pipelines.
Lead Software Engineer on JPMorgan Chase's Consumer & Community Banking AI/ML Platform Engineering team, building, scaling, and maintaining robust machine learning solutions as part of an agile team. Based on-site in Jersey City, NJ.
Lead-level software engineer on J.P. Morgan's Commercial and Investment Banking team, focused on AI/ML engineering and GPU-based ML model serving. Day to day: working in an agile team to design and deliver secure, stable, and scalable technology solutions.
An associate-level software developer role at the Vector Institute in Toronto, building open-source libraries, APIs, and data pipelines that package machine learning research into reusable tools and support a flagship AI engineering product. Core stack includes Python (or JavaScript/C++), ML frameworks like PyTorch/TensorFlow, plus cloud and containerization tooling.
Vice President in JPMorganChase's Compliance, Conduct & Operational Risk (Technology & Cyber) overseeing operational, technology and cybersecurity risk for firmwide AI/ML platforms. Day to day: thematic AI/ML risk analysis, credible challenge to first-line risk mitigation, and assessing cyber risk of AI use cases.
Senior AI/ML engineer (solution architect) who designs modern retrieval systems for search and AI use cases on a scalable, API-first data platform: vector search, data ingestion/preprocessing, secure REST and LLM interfaces, and reworking legacy systems. Stack includes Solr/OpenSearch/Azure AI Search, Java/Kotlin, Python, and cloud CI/CD.
Joins White Circle (an AI Safety company) to train and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and pretrained checkpoints, build data and alignment pipelines (SFT, DPO, GRPO), optimize for production (quantization, distillation), and deploy end-to-end. Core stack is PyTorch with distributed training (DeepSpeed, FSDP) and multimodal architectures
Lead ML & AI Engineer on a 10-month fixed-term contract at UK insurer 1st Central, building and evolving MLOps/AIOps frameworks and production ML pipelines on Azure (Azure ML, Synapse, Data Factory) with Python, PyTorch and TensorFlow, while coaching a team of ML Ops and AI engineers in a mostly remote hybrid role.
A 9-month contract DevOps engineer supporting an enterprise data platform in Azure, focused on AI/ML workloads. Day to day involves designing and maintaining scalable cloud-native infrastructure, automation, and secure platform engineering on AKS with CI/CD, collaborating with data, MLOps, and architecture teams.
A 12-month research engineer role at University College Dublin's School of Politics and International Relations. The post holder designs and optimises the retrieval/RAG architecture of the EURVISTA platform, evaluates embedding models and LLM output accuracy, and runs daily ETL pipelines ingesting EU legislative data. Core stack: Python, PostgreSQL, OpenSearch/Elasticsearch, PyTorch, Hugging Face,
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