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ML Engineer – Flexible Data & AI Projects
An ML Engineer working on flexible data and AI projects focused on document automation (LLM-based information extraction, data modeling) and speech-to-text transcription (audio analysis, conversation summarization).
Software Engineer II - Backend | NextGen Engineering
Build and maintain scalable backend services in Java/Spring Boot that power Careem’s mobility platform, with a focus on clean code and distributed systems.
Senior ML Backend Engineer
The Senior ML Backend Engineer will build and maintain scalable machine learning infrastructure and pipelines to support property intelligence solutions. The role involves working with cloud-native technologies, Kubernetes, and MLOps practices to transition models from research into production.
Consultor Data Science - híbrido
Designs, builds, and deploys AI/ML models for operational intelligence (Smart NOC AI), from data exploration to production, collaborating with data engineering, architecture, MLOps, and ops teams to enable predictive decision-making, automation, and anomaly detection using IBM Watsonx tools.
Applied Data Scientist, Search Ranking
Leads applied ML and NLP efforts to optimize Target’s search and browse systems, deploying LLMs and ranking models to enhance ecommerce relevance at scale.
AI Engineer Consultant (m/w/d)
AI Engineer Consultant designs and builds end-to-end AI/GenAI solutions, advises clients on AI use cases, and implements prototypes/MVPs using Python, Azure OpenAI, Databricks, and MLOps pipelines.
Senior Engineer, MLOps Platform
Designs and builds an enterprise MLOps platform for AI/ML workflows, focusing on scalable services, APIs, and developer tooling to enable ML teams to deploy and manage models at scale.
Senior DevOps Engineer (k/m/x)
Senior DevOps Engineer builds and secures cloud-native infrastructure, automates CI/CD pipelines, and sets engineering standards for a product company serving fintech, e-commerce, edtech and AI clients.
Director of Data Science
Leads a 4-team data science cluster in Logistics & Fulfilment, focusing on ML, MLOps, and operations research to optimize logistics (routing, forecasting) and deploy models at scale.
Data Science Director
Leads a team of data scientists to design and deploy ML models for logistics optimization and fulfillment in Ocado’s advanced warehouse and delivery networks, focusing on routing, forecasting, and production-scale impact.
Senior Machine Learning Engineer (E3)
Senior ML Engineer builds and operates production AI systems for Ocado’s ecommerce personalization, ranking, and recommendation features using Python, GCP/Vertex AI, and BigQuery.
Senior Data Engineer
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the…
Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik
Design and build AI/ML solutions for chemical and manufacturing clients, including time-series models, anomaly detection, and generative AI systems, deployed on cloud platforms.
Machine Learning Engineer
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.
Regional Sales Lead (Americas) – Tokens & AI Partnerships
Location: United States Reports To: Head of Investments, Partnerships and Tokens Working closely with the CEO, CXOs, Global GTM Leadership, Investments & Strategic Partnerships Team Company Overview:…
Lead AI/ML Engineer
Lead AI/ML Engineer designing and deploying production AI/ML applications in AWS for federal initiatives, combining hands-on Python/ML engineering with technical strategy, MLOps, and client engagement.
Trainee AI/ML Engineer
Build internal AI solutions and LLM architectures (RAG, vector search) using Python or JavaScript under mentorship for a spiritual wellness platform.
Data Engineer- On Prem.
Data Engineer at AMD in Poland designing and driving architecture for next-generation data platforms, focusing on AI/ML workloads, data lakes, and enterprise-scale systems.