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Senior AI Engineer (w/m/d)
Senior AI Engineer builds and deploys ML models (including LLMs) and end-to-end AI solutions for enterprise clients, focusing on MLOps, software engineering, and translating business problems into measurable outcomes.
Team Lead LLM engineer GenAI
Leads a team building GenAI services (RAG, agent frameworks, document processing) for a bank’s ecosystem, deploying LLMs and multimodal models to create business-ready AI agents.
Solution Architect (Databricks) (Remote)
Senior Solution Architect designs and implements large-scale Databricks Lakehouse Platform solutions for enterprise clients, optimizing Apache Spark workloads and guiding CI/CD/MLOps pipelines.
Senior ML/AI Engineer
Senior ML/AI Engineer builds, fine-tunes, and deploys models for classification, retrieval, NLP, and GenAI workflows, using Python, LLMs, RAG, and vector search on Qualcomm chipsets.
Senior MLOps
Build and run the ML platform that trains, serves, monitors, and retires models in batch and real-time on CPU/GPU, using Kubernetes, Triton, MLflow, Prometheus and CI/CD.
Lead Platform Engineer
Lead the engineering of MLOps pipelines and tooling for AI models at a major bank, using SageMaker, Databricks, and MLflow to deploy and monitor models reliably.
Senior/Lead Data Scientist (блок Финансы)
Build and deploy LLM agents and RAG systems to automate finance operations, using Python, LangChain, and PyTorch.
Senior DevOps Engineer
Senior DevOps Engineer builds and secures CI/CD pipelines, deploys scalable infrastructure on AWS/GCP/Kubernetes/serverless, and monitors distributed systems for a content-tech company serving theme parks.
MLOps Engineer
MLOps engineer builds and runs Kubeflow/ClearML-based ML pipelines, deploys high-load inference services on Kubernetes, and supports data scientists with GitOps and observability tooling.
MLOps Engineer
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights…
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아마존(Amazon) AI Solution Architect
Design and advise on scalable GenAI/ML and Agentic architectures on AWS, helping customers implement LLMs, RAG, vector DBs, and MLOps while optimizing for security, cost, and performance.
Senior ML Engineer [CICADA8]
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Senior LLM and Agentic AI Engineer
Build and deploy enterprise-grade AI systems using LLMs, RAG, and Agentic AI frameworks to automate workflows and enhance customer experiences in banking.
Senior Software Engineer, Product Engineering
Build and maintain cloud-native software for ICEYE’s flood-monitoring platform, turning satellite radar data into reliable, scalable products that help communities prepare for and respond to floods.
AI Engineer
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
Data Engineer
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Head of AI/ML (Director/VP) - VC Backed Startups
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
Principal AI/ML Engineer - VC Backed Startups
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Founding AI Engineer (Senior/Staff) - VC Backed Startups
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
AI/ML Engineer
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.