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Leads AI/ML system architecture and enterprise-scale AI engineering for defense/intelligence, focusing on novel AI frameworks, LLMs, and high-assurance deployment in multi-cloud/air-gapped environments.
Senior AI Architect & Consultant designing and deploying production AI infrastructure (model serving, agent gateways, chat/voice) for enterprise clients using LLMs, Agentic RAG, and frameworks like LangGraph, PydanticAI, and OpenAI Agents SDK.
Leads AI platform architecture, optimizes LLM workflows for defense/intelligence use, and manages multi-cloud infrastructure with security-focused DevOps.
The AI Lead Software Architect will design and lead the execution of mission-critical, distributed AI and machine learning systems for defense and intelligence applications. This role involves architecting high-throughput inference pipelines, multi-agent frameworks, and secure, low-latency deployments across air-gapped and multi-cloud environments.
In-office AI/ML Engineer in Houston designing and deploying agentic AI systems, building ML pipelines, and leading data standardization using Python, TensorFlow/PyTorch/Scikit-learn, and cloud platforms (Azure, AWS, GCP).
Description The Senior Manager – Delivery – Applied AI serves as the single point of accountability for the execution, delivery, and operational success of enterprise AI solutions within the NMDP technology portfolio.…
СберЗдоровье — аккредитованная IT-компания , крупнейшая в России Digital Health-платформа, объединяющая различные сервисы цифровой медицины. Сервис начал свою работу в 2012 году под брендом DocDoc. Мы помогли миллионам…
Лаборатория искусственного интеллекта - это новый отдел, основной задачей которого является внедрение технологий ИИ в бизнес-процессы банка. Мы развиваем свою MLOps платформу (Kubernetes, JupyterHub, AirFlow, MLflow и…
The Data Engineer & AI Specialist will design and manage scalable data pipelines and AI models to support quality and manufacturing operations. The role involves using Python, SQL, cloud platforms, and Power BI to generate actionable insights and drive digital transformation.
Design, develop, test, and deploy production-grade AI/ML models, build AI services and APIs, implement Generative AI solutions, and own end-to-end data pipelines, MLOps, and observability in a collaborative, cross-functional environment.
Design and operate AWS data pipelines and ML lifecycle automation, translating data science experiments into production-grade applications using ETL, containerization, and CloudFormation.
Hybrid Senior Data Engineer building MLOps and ETL pipelines on AWS, containerizing applications, and managing cloud infrastructure (CloudFormation, SageMaker, Lambda, S3) for a large insurance company.
The Data Scientist Manager leads end-to-end AI projects, manages a team of data scientists, and drives technical excellence in MLOps and software engineering. They act as a technical bridge between business stakeholders and engineering teams to deliver scalable, impactful AI solutions.
Artefact is seeking a Data & Software Engineer to manage end-to-end data projects, from design and cloud architecture to deployment and MLOps. The role involves collaborating with consultants to build innovative data solutions while optimizing for performance and scalability.
Lead a team of data engineers to design and deliver cloud-native data platforms for international clients, using Python, Spark, Airflow, and major cloud providers (GCP, AWS, Azure).
The Senior AI Engineer acts as a technical consultant and builder, designing and deploying end-to-end AI/ML and Generative AI solutions for global clients. The role involves bridging business strategy with technical execution using cloud-native infrastructure and modern MLOps practices.
As a Senior Data Scientist at Artefact, you will design, deliver, and scale end-to-end AI and machine learning solutions for diverse clients while mentoring junior team members. The role requires strong software engineering and MLOps skills to ensure production-ready AI pipelines.
Artefact is seeking a Senior Data Scientist to translate business challenges into technical AI and machine learning solutions. The role involves end-to-end model development, from data assessment and algorithm selection to production deployment using Python and MLOps principles.
Artefact is seeking a Senior Data Scientist to lead marketing-focused AI projects, including attribution modeling and customer segmentation. The role involves developing data science solutions, mentoring team members, and collaborating with clients to drive business impact using Python, SQL, and R.
Senior Data Scientist at a global data/AI consulting firm, building end-to-end machine learning and statistical models for high-stakes client engagements using Python/R, SQL, and cloud platforms (GCP/AWS/Azure).
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