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Build and scale backend services in Java/Spring Boot while integrating AI tools to enhance engineering workflows and product capabilities for a fast-growing SaaS workforce management platform.
At PDR.cloud , we are digitalizing the workshop of the future. Since 2018, we have been developing a cloud-based SaaS platform from Berlin that helps automotive repair shops manage complex damage processes more easily,…
This role involves building an agent evaluation platform to measure and improve AI agent performance through calibrated judges and reward models. You will design rubrics, calibrate against human labels, and develop methodologies to train agents using LLM-based evaluation.
The Senior Machine Learning Engineer will build and evolve cloud-based AI/ML solutions to enhance enterprise service workflows. The role involves collaborating with cross-functional teams to design, implement, and deliver scalable AI-powered software using Java or Python.
Senior Software Engineer in Google's Labs incubation group, building and deploying ML/AI solutions—including generative AI, ML infrastructure, speech/audio, or reinforcement learning—at scale across Google's products.
Design and deploy AI/ML systems for industrial cybersecurity, focusing on threat detection and automation in ICS/xOT environments using Python, ML frameworks, and Kubernetes.
Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1 Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and Generative AI solutions with a…
Cardboard is seeking an Applied ML Engineer to build evaluation systems and improve the quality of their AI-powered video editing agent. You will work across the stack using TypeScript and Python to analyze failure patterns, create datasets, and implement regression testing for production AI workflows.
Senior Machine Learning Engineer designing and deploying 3D perception models for autonomous trucks, using PyTorch and multi-modal sensor data to improve environmental understanding.
Builds and deploys AI/ML models and LLM applications, focusing on prompt optimization, sandbox experimentation, and cloud-based pipelines for a core-AI product company.
Freelance senior machine learning role implementing small ML tasks, deploying models on AWS, and building data pipelines with TensorRT-LLM and Keras.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Ciklum is seeking a Senior AI/ML Engineer to build and deploy LLM-powered agents and workflows for healthcare-related production systems. The role involves writing LLM evaluations, integrating data sources, and collaborating with business users in a fully remote environment.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
Perform advanced quantitative analyses, develop and validate AML model frameworks, and oversee AI/ML-enabled solutions for anti-money laundering investigations at a large bank, ensuring regulatory compliance and effective governance.
Develop and validate quantitative/AI-ML models supporting AML investigations at PNC Bank, performing advanced data analysis, model risk assessment, and regulatory compliance documentation in a highly regulated financial environment.
Develop and implement machine learning algorithms for Uber's autonomous driving stack, architecting scalable ML systems and optimizing datasets from real-world sensor data using Python and PyTorch.
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