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Data Scientist / AI Engineer
On-site Data Scientist / AI Engineer in Paris: develop, deploy and maintain ML and LLM services (recommendation, fraud detection) in production on GCP within a 6-person Data Science squad, exploring new models to boost cultural-offer discoverability. Core stack: Python, SQL, TensorFlow, FastAPI, BigQuery, Vertex AI, Kubernetes, Airflow, Terraform.
ML Engineer: Build Scalable, Data-Driven ML Solutions
Machine Learning Engineer in the Netherlands who designs predictive models and manages a robust data foundation, building scalable ML applications deployed on clients' data platforms using Python and ML frameworks such as scikit-learn, PyTorch, and TensorFlow.
Data & AI Engineer Rotterdam
At Sytac, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship — giving engineers autonomy…
Medior AI Engineer / Developer (Full-Stack)
Full-time (40 hours) or 32 hours | Eindhoven or Heerlen (hybrid) | 26 February 2026The Role As a Medior AI Engineer/Developer, you’ll turn prototypes and early-stage concepts into working, testable, and maintainable…
AI Backend Engineering Manager
Stampli, an AI-driven accounts payable (fintech) SaaS company, is hiring an AI Backend Engineering Manager in Tel Aviv to lead and mentor an AI/ML/backend team. The role blends hands-on engineering with management, defining ML strategy and overseeing GenAI/LLM solutions, scalable ML infrastructure, CI/CD, and data pipelines.
Senior Data Scientist
Senior Data Scientist Job Level: W2T Consultant Job Location: Remote Travel Expectations: No Travel Job Classification: Temporary (W2T) Contractor Join Centric Consulting – A Culture You’ll Love At Centric Consulting,…
Senior Machine Learning Engineer, Financial Products
Senior ML Engineer at Adyen (San Francisco, office-first) building and running credit-risk underwriting models and production ML systems for Financial Products (card issuing, credit, financing). Full lifecycle work — feature pipelines, training, deployment, monitoring — using Python/Java with Spark, TensorFlow/PyTorch, XGBoost, MLflow, Airflow and Kubernetes.
Sr. AI/ML Engineer II (6883)
Hands-on technical lead designing, building, and deploying production AI/ML solutions—including RAG and agentic AI—in classified AWS (IL6) environments. Core stack includes Python, TensorFlow, Scikit-Learn, and Postgres; requires an active TS/SCI clearance with CI polygraph and hybrid work in the D.C. metro area (Reston/Tysons Corner, VA).
Senior Machine Learning Engineer (Growth)
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely…
Senior Data Scientist (Applied ML) - Canada
At NerdWallet, our mission is to provide clarity for all of life's financial decisions. Data Science plays a critical role in delivering on that mission, helping us better understand our consumers, personalize their…
Senior Data Scientist (Applied ML)
At NerdWallet, our mission is to provide clarity for all of life's financial decisions. Data Science plays a critical role in delivering on that mission, helping us better understand our consumers, personalize their…
Data Scientist
Growth Data Scientist at Papaya Gaming, a skill-based real-money mobile gaming company in Tel Aviv. You'll own prediction problems end to end—churn, cohort LTV, CRM triggers, and lobby/store ranking models—building production Python models (LightGBM/XGBoost, PyTorch/TensorFlow) on warehouse SQL (Snowflake/BigQuery) wired into the live product.
Machine Learning Engineer
Machine Learning Engineer at a consulting firm, developing and deploying ML models (predictive analytics, classification, clustering) using Python, TensorFlow/PyTorch/scikit-learn, and cloud platforms (AWS/GCP/Azure) across various client engagements.
Senior Software Engineer, Identity
Build and own Attentive’s first-party data collection platform, spanning a JavaScript tag, Cloudflare Workers, and Java backend services, while integrating AI to automate data-quality improvements and edge compute workflows.
Principal Machine Learning Engineer (EO/IR Image Analysis)
Principal ML Engineer at Rocket Lab's Optical Systems division in Long Beach, CA, building deep learning neural networks and ML pipelines for EO/IR image processing in support of U.S. Space Development Agency defense programs. Daily work spans model design, training, validation, and deployment using Python and frameworks like PyTorch, TensorFlow, and Keras.
Principal Machine Learning Engineer (EO/IR Image Analysis)
Rocket Lab's Optical Systems division in Tucson, AZ is hiring a Principal ML Engineer to build deep learning neural networks for EO/IR satellite image processing, supporting the U.S. Space Development Agency's PWSA Tranche 3. Day to day: design, train, and deploy computer vision models (detection, segmentation, tracking) and maintain ML pipelines using Python and frameworks like PyTorch/TensorFlow
Senior Machine Learning Engineer II (EO/IR Image Analysis)
Designs, trains, and deploys deep learning models and ML pipelines for electro-optical/infrared (EO/IR) satellite image analysis, supporting the U.S. Space Development Agency's PWSA Tranche 3 program at Rocket Lab Optical Systems in Tucson, AZ. Day-to-day work spans computer vision prototyping, training/inference pipelines, and Python-based deep learning.
Senior Machine Learning Engineer II (EO/IR Image Analysis)
Senior Machine Learning Engineer II building deep learning neural networks for Electro-Optical/Infrared (EO/IR) image processing to support the U.S. Space Development Agency's PWSA Tranche 3. Day-to-day work involves designing, training, and deploying computer vision models and maintaining ML pipelines using Python and frameworks like PyTorch/TensorFlow at Rocket Lab Optical Systems in Long Beach,
Senior AI Solutions Architect – Hybrid - Linthicum, MD
Senior AI Solutions Architect working hybrid in Linthicum, MD on State of Maryland e-government systems. Designs and deploys scalable AI/ML systems (data strategy, TensorFlow/PyTorch framework selection, LLM pipelines) while leading architecture of multi-tier cloud-native web applications on AWS using Node.js, Java, and Python.