Tech jobs
Job listings
AI/ML Speech-to-Text Python Engineer
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs, and integrate into products.
Senior Data Engineer
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
(Senior) Data Engineer | Azure - m/v/x
Design and build scalable Azure-based data pipelines and AI solutions that turn raw data into business value across sectors like energy, finance, and healthcare.
(Senior) Data Engineer | Azure – m/v/x
Designs and builds scalable Azure-based data pipelines and Applied AI solutions, turning raw data into business value for sectors like finance, energy, transport, and healthcare.
Lead Data Engineer - m/v/x
Lead a team of data engineers and scientists to design, build, and deploy Azure-based data pipelines and AI solutions using Python/Java, Spark, Kafka, and Kubernetes.
Lead Data Engineer – m/v/x
Lead a team to design and build scalable Azure data pipelines and productionize ML models, using Databricks, Spark, Kafka and Python/Java.
Senior Full-stack AI Engineer
Build and ship production-grade AI-powered applications end-to-end, blending full-stack engineering with applied AI (LLMs, RAG, agentic workflows) using Python, React, FastAPI, and cloud infrastructure.
Backend Developer (Node.js & Typescript)
Build and scale AI-powered backend services in Node.js/TypeScript on AWS to power On Air’s streaming platform, integrating ML models and APIs for content optimization and recommendations.
Senior Software Developer (full stack)
Build and optimize cloud-based software for a cleantech scale-up, integrating AI/ML models and geoscience data to map underground mineral deposits using muon tomography.
Data Scientist
Build and improve data models for delivery demand, driver supply, pricing, and routing using Python, SQL, and ML libraries to optimize DoorDash’s marketplace.
DATA SCIENTIS (LLM and AI)_REMOTE_FREELANCE
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Fresher AI Engineer (Good English Communication)
Build and train AI models (LLMs, CNNs, generative models) using Python and frameworks like PyTorch/TensorFlow to improve datasets and deploy solutions for real business cases.
Staff AI Engineer
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Data Scientist - Pipelines, Dashboards (Istanbul)
Build and maintain data pipelines, clean datasets, and create dashboards to extract insights from logistics operations using Python, SQL, and Airflow.
R&D Engineer 'Applied Data Science'
Build and deploy ML models for fraud detection, anomaly detection, and time-series forecasting, taking them from R&D to production in a full-stack engineering role.
Computer Futures - LLM Engineer
Design, fine-tune, and deploy LLMs to automate business processes in a manufacturing environment, collaborating with cross-functional teams to scale AI solutions into production.
Smals - Machine Learning Engineer
Design, build, deploy and maintain ML models and pipelines in production on Azure and on-premise, ensuring reliability, scalability and compliance with EU AI regulations.
Cloud Architect (Data & AI)
Designs scalable Azure-based cloud architectures, data platforms, and AI/ML solutions for a motorsport engineering team, using Python, Terraform, and MLOps.
AI Engineer
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Cloud Architect (Data & AI)
Designs scalable cloud architectures, data platforms, and AI/ML solutions for a Motorsport client using Azure, AWS, and GCP, with a focus on MLOps, data pipelines, and cloud-native development.