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Build and maintain data pipelines, cloud infrastructure, and AI models in Python/SQL while learning on real client projects with mentorship.
Manager- AI Category: Architecture Main location: Philippines, Taguig Position ID: J0426-2431 Employment Type: Full Time Position Description We are looking for a Manager Expert- Technical Architect for AI to design…
Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
Build and own the cloud-native platform for a fintech serving SMEs, using GCP, Kubernetes, Terraform and Flux CD to ensure reliability, security and compliance.
(What the role is) A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data…
Build and maintain scalable data pipelines, integrate diverse data sources, and ensure high-quality data processing for analytics and ML using tools like Talend, PySpark, and SQL.
Build pricing and underwriting tools in Python to automate insurance tariffs, collaborating with data scientists and engineers to scale Prima’s car-insurance platform.
Designs and maintains AI-driven data pipelines and MLOps infrastructure using Python and big data tech to power analytics and BI solutions.
Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Build and deploy generative AI models (LLMs, multimodal) using Azure Databricks, Hugging Face, and LangChain for content personalization, automation, and semantic analysis.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Build and deploy machine learning models on Azure using Python, Azure ML, and Databricks to deliver data-driven insights and predictive analytics for business stakeholders.
Build and deploy scalable ML models and data pipelines for fraud detection, risk modeling, and customer analytics in finance using Python, Spark, and cloud platforms.
Builds and deploys generative-AI systems that create culinary content for HelloFresh’s chefs, using Python/SQL and MLOps tools like MLFlow and Prefect.
APPLICATION DEADLINE: Friday, April 17th at 5:00pm central time , we encourage you to apply soon if interested. We recognize that job searching can sometimes feel uncertain and are committed to keeping you informed…
Build and maintain a Databricks-powered data platform using Spark, Delta Lake, and Python to power analytics and AI/ML workflows for a company migrating from AWS-native services.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Designs and builds scalable data pipelines and infrastructure for AI projects, using Python, SQL, Spark, and cloud platforms like AWS/GCP/Azure.
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