Tech jobs
Job listings
Machine Learning Engineer
Build and deploy ML models to optimize freight pricing, carrier forecasting, and recommender systems for Europe’s leading digital freight platform, leveraging AI and LLMs to drive profitability and efficiency.

ML Researcher
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion,…
Head of Engineering, AI/LLM Practice (Associate VP, Delivery Engineering)
Lead engineering teams to build and scale AI/LLM delivery platforms, automation, and reusable engineering capabilities for global AI clients.
Senior AI Engineer - Hybrid
Builds, deploys, and maintains AI/ML models and pipelines using Python, Databricks, and Azure AI to power predictive analytics, NLP, and Generative AI solutions in a production environment.
Data Scientist (Alabang)
Build predictive and optimization models to improve call-center performance and customer experience using Python/R, SQL, and analytics tools.
Mid/senior - data scientist
Build and optimize ML models for dynamic pricing, trip dispatching, and fraud detection using Python, SQL, and GCP to drive Yassir’s mobility super-app.
Senior ml engineer: scalable mlops & production ai
Vodacom is hiring a Senior Machine Learning Engineer to design and deploy scalable ML solutions across markets. You will work with data scientists, data engineers, software engineers, and product managers to integrate…
Google Cloud Platform (GCP) Data Engineer
Designs and maintains scalable GCP data pipelines and warehouses (BigQuery, Dataflow) to feed analytics and ML, using SQL, Python, Airflow, and Kafka.
Data Engineer (MLOps / Analytics Focus)
Builds and maintains scalable Databricks pipelines, deploys ML models via MLflow, and creates Power BI dashboards to support analytics and reporting in a data-driven environment.
AI Data Engineer
Designs and maintains AI-ready data pipelines, feature stores, and curated datasets to power machine learning models, generative AI, and real-time analytics using cloud-native tools.
MLOps Data Engineer: Databricks Pipelines & Analytics
Build and maintain Databricks pipelines, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting in an AI-focused environment.
AI Architect
Design and build AI systems using LLMs, RAG, and Agentic AI frameworks with Python, TensorFlow, and PyTorch.
Lead AI Engineer
Lead AI Engineer designs and delivers enterprise-scale AI solutions on Google Cloud, mentoring teams and deploying Generative AI and ML systems for complex business challenges.
AI Engineer
Design and deploy AI/Generative AI solutions (LLMs, RAG, copilots) on cloud platforms like Azure and Databricks, integrating with enterprise systems to drive business insights and automation.
Staff Engineer, Deep Learning (R5180)
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
Staff Software Engineer, Applied AI (Forward Deployed)
Build and deploy AI systems for enterprise clients, combining backend engineering with agentic AI and MLOps to create scalable ML solutions in production environments.
Principal Software Engineer, Applied AI (Forward Deployed)
Principal Software Engineer builds and deploys scalable AI/ML systems, including agentic solutions and RAG pipelines, while collaborating directly with enterprise clients to integrate models into production workflows.
ETL Developer - AI-Driven Data Pipelines
Design, build, and maintain ETL pipelines that move and transform healthcare data, using SQL, Talend/SSIS, and cloud tools while leveraging AI-assisted coding.
Forward Deployed Engineer Data & AI
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI, RAG, and data platforms.