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Designs and deploys AI/ML models to automate manufacturing processes, reducing downtime and optimizing shopfloor/IT/OT workflows using Python and data-driven methodologies.
Builds Python-based AI/ML pipelines and backend services for recommendations, fraud detection, and GenAI; mentors engineers and designs scalable systems using Kafka, Redis, and Kubernetes.
Builds and maintains ML infrastructure (training, serving, CI/CD, observability) for AI/ML models and LLMs, bridging research and production teams to deploy scalable, reliable systems.
Leads ML initiatives for government policy and services, designing models, tools, and analyses to improve public sector decision-making using AI. Focuses on ethical, transparent ML applications while collaborating with cross-functional teams.
Osprey Systems is seeking a Perception/ML Engineer to build and optimize multi-sensor fusion engines and classification models for counter-drone technology. The role focuses on edge deployment and real-time inference in challenging, resource-constrained environments.
Build AI/ML models to predict chemical safety risks using multimodal biological data, translating outputs into actionable insights for research decisions in agrochemicals.
Develops AI/ML models to predict safety risks in biological/chemical research, integrating toxicology, biology, and data science to improve decision-making for agrochemicals and pharmaceuticals.
The role involves deploying high-impact ML models (including NLP transformer models) in a fintech environment, optimizing Hadoop clusters, and maintaining ML pipelines for scoring. Daily work includes industrial ML model implementation, pipeline design, cluster administration, and data storage optimization for a team of over 60 engineers.
Job Description Job Description We are seeking a talented and experienced AI / ML Engineer to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in…
Builds and maintains the infrastructure for AI-native email triage systems, focusing on model training, deployment, inference, and observability to ensure scalable, low-latency AI workflows.
Oversees data center delivery programs, aligning technical teams, stakeholders, and policies to ensure on-time, high-quality execution while driving ML-related initiatives and escalating issues as needed.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Are you passionate about building resilient, scalable systems that power the future of AI? At…
Machine Learning Engineer (hybrid, Warsaw) building production-grade Python ML applications, MLOps pipelines on GCP/Azure, model-serving systems, and GenAI/LLM deployments for Harvey Nash Technology's clients.
Overview Microsoft Research AI for Science is seeking a talented machine learning researcher to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation…
Build internal AI solutions and LLM architectures (RAG, vector search) using Python or JavaScript under mentorship for a spiritual wellness platform.
Lead AI/ML evaluation programs for Google Search, designing frameworks to assess emerging models and tools, and ensuring high-integrity data for global search experiences.
Designs and maintains Unity Vector’s online ML model inference platform, optimizing performance and enabling safe experimentation in high-traffic production environments.
The Senior Machine Learning Engineer will design and architect scalable real-time bidding systems for Unity's advertising engine using AI and advanced optimization frameworks. The role involves working with large-scale datasets to enhance marketplace intelligence and ad performance.
As passionate about our people as we are about our mission. Why Join Q2? Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the…
Designs AI-driven optimization algorithms to maximize advertiser ROI on Unity’s global ad network, improving outcomes for thousands of campaigns across billions of devices.
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