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Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
Who We Are Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data and AI transformation and data…
Lead applied AI projects for marketing and commerce, building production-grade models to measure campaign impact and generate brand content at scale.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
The Senior MLOps Engineer will build and scale enterprise-grade machine learning platforms on Google Cloud using Vertex AI and BigQuery. The role involves automating the full model lifecycle, from training to production deployment, while collaborating with data scientists and cloud engineers.
Designs and leads enterprise-scale ML architectures on Google Cloud, focusing on Vertex AI and Gemini platforms to transition models from experimentation to production while ensuring scalability, security, and efficiency for cross-functional teams.
The MLOps Engineer will build and maintain secure, scalable AWS infrastructure for a production-grade agentic AI platform. The role involves managing cloud infrastructure as code, containerizing services, and implementing monitoring and security for LLM-based customer support workflows.
Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our…
Position: Data/Modeling Engineer (ML/Data Engineer) Location: Reston, VA (Hybrid) Duration: Long term Required Skills & Experience • Strong experience with AWS and ML engineering • Proficiency in Python and MLflow •…
Мы ищем DevOps / MLOps инженера, который развернет и возглавит развитие инфраструктуры для нашего нового подразделения. Вам предстоит автоматизировать жизненный цикл ИИ-сервисов (от сборки кода на Python/Java/.NET до…
Senior Data Scientist owning data products end-to-end for Sun King's PAYG LPG clean cooking business in East Africa, using Python, SQL, ML models and Bayesian methods to drive commercial metrics like activation, churn and refill frequency.
Amaris Consulting in Johannesburg seeks a Dev Ops/Cloud Engineer to join our international, dynamic team. You will design, implement, and maintain CI/CD pipelines using Azure Dev Ops or Git Hub Actions, and develop…
Росгосстрах сейчас активно развивает внутреннюю платформу - экосистему AI-сервисов для автоматизации ключевых процессов компании. Для этого формируем новую команду, которая будет фокусироваться на улучшении ключевых…
The Machine Learning Engineer will design, build, and maintain production-grade LLM agents and machine learning systems to transform unstructured enterprise content into structured metadata. The role involves developing data pipelines, agentic workflows, and monitoring model performance within an AI-first content management platform.
Design and modernize a cloud-based enterprise data platform using Databricks Serverless, Azure, and FinOps practices to drive cost efficiency and scalability for analytics and AI workloads.
A bit about the role and what you'll do... We are looking for an exceptional Data Analyst to join our team. This is not a traditional reporting role - you will be at the centre of real-time analytics, AI-driven…
Data Scientist on the People Analytics team building predictive/prescriptive models on HR and workforce data using Python, R, SQL, PySpark, cloud platforms (AWS/Azure/GCP/Databricks), and BI tools like Tableau and Power BI.
A hands-on technical sales engineer builds and demonstrates AI infrastructure solutions for enterprise customers, guiding them from evaluation to production deployment using Python, Go, or TypeScript and cloud platforms.
A backend engineer partners with enterprise customers to design, demo, and deploy AI infrastructure, integrating models, tools, and agents while shaping product direction based on real-world usage.
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