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Senior AI/ML Engineer Job requirements Experience Range: 2–4 years of experience, including at least 2 years specifically building LLM-based applications, RAG systems, or AI agent workflows Key Responsibilities: Design…
Senior MLOps Engineer – Energy Sector Austin, TX – Hybrid $160–180k + Excellent Benefits Our client, a leader in energy innovation, is seeking a Senior MLOps Engineer to design, deploy, and scale machine learning…
As a Forward Deployed Engineer at Inferact, you work hands-on inside customer environments to deploy, integrate, debug, and optimize vLLM-powered AI inference systems across cloud, Kubernetes, GPU, and networking stacks, then turn field learnings into reusable product capabilities.
As an AI System Engineer at Illuin in Paris La Défense, you design, build and industrialize AI/data solutions for demanding client projects and the company's own products: custom software, scalable data pipelines, and MLOps/AI systems on cloud or on-premise, in agile sprints with direct client interaction. Core stack spans Python/Java/TypeScript, SQL/NoSQL, data architectures, Docker, CI/CD.
Builds and maintains machine learning infrastructure for AB InBev’s B2B platform BEES, including training pipelines, inference services, and monitoring, using Python, PySpark, Kubernetes, and Azure cloud.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Data Scientist Job requirements Experience Range: With at least 4 years of hands-on experience in advanced data science, including statistical analysis and machine learning, and up to 6 years in similar roles Key…
A senior engineer who designs, builds and industrializes custom software, scalable data pipelines, and AI/MLOps systems (cloud or on-premise) for demanding client projects and internal products at a French services firm, spanning backend development (Python/Java/Kotlin/Scala/TypeScript), data architecture, and DevOps tooling, with some mentoring and pre-sales involvement.
Data Scientist Job requirements Experience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets…
Descriptif du poste → Votre mission En tant que Senior Software & Data Engineer, votre rôle sera de concevoir, développer et industrialiser des solutions technologiques et data de pointe, au service de produits IA…
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Brillio is hiring a Senior AI/ML Engineer in Bangalore to design, build, and deploy machine learning models on Google Cloud Platform, using tools like KubeFlow, BentoML, TensorFlow, and PyTorch. Day-to-day work spans statistical analysis, forecasting (ARIMA/exponential smoothing), and model monitoring with Great Expectations and Evidently AI.
Founding engineer at Soobu, an AI-powered fashion search and discovery startup in closed beta. You'll own the backend (APIs, databases, auth), data pipelines, and end-to-end MLOps — deploying, monitoring, and retraining models — starting part-time equity-only, converting to full-time with salary after the seed round closes.
Senior engineer who designs, builds and industrializes software and data solutions for high-impact AI products: custom apps and APIs, scalable data pipelines, and MLOps systems deployed in cloud or on-premise, working with Python/Java-family languages, SQL/NoSQL, Docker and CI/CD while mentoring juniors and collaborating closely with clients.
Mid-level (5-8 yrs) Machine Learning Engineer at Yuno, a payments infrastructure company, building and scaling its MLOps foundation: productionizing models with CI/CD, low-latency serving, monitoring/drift detection, and streaming pipelines (Kafka, Kinesis, Flink), plus LLM-based agentic workflows. Requires strong software engineering, containerization and observability skills; based in Europe wit
Anno.ai, a defense-tech startup building test ranges for autonomous systems, seeks a Senior ML Engineer to design, deploy, and maintain production ML pipelines across cloud, on-prem, and edge environments. Day-to-day work centers on MLOps (Docker, Kubernetes, CI/CD), model training/deployment/monitoring, and collaboration with mission teams. US citizenship and clearance eligibility, plus up to 20%
Join our Team About this opportunity: We are especially focused on integrating artificial intelligence across all aspects of our daily work—including software development, testing, and troubleshooting—to drive…
About the Role Rubiscape’s RubiStudio studio promises enterprises a path from experiment to production in under 90 days — and the MLOps Engineer is the person who makes that promise real. You will design the CI/CD…
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