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The Senior Machine Learning Engineer will design, build, and deploy personalization models to improve user recommendations and retention within the Too Good To Go marketplace. The role involves working with a Python-based stack including Metaflow, Airflow, and cloud infrastructure to drive marketing personalization efforts.
Leads an embedded software team that owns part of Ceva's NPU AI software stack, connecting host CPUs (SDK, runtime, drivers) with NPU firmware in C/C++. Day to day is people management, technical design and mentoring, plus global collaboration with hardware and NPU teams for edge AI devices.
Builds and maintains full-stack web applications (frontend and backend) at a Singapore software testing company, integrating AI/ML models into apps, creating REST APIs, and supporting AI features such as chatbots and automation testing tools. Stack spans Vue/React/Angular, Java Spring Boot/Node.js/Python, and SQL/NoSQL databases, with TensorFlow/PyTorch exposure.
Junior ML/Data Engineer at the management company of the Alabuga special economic zone: prepares tabular, streaming and video data, builds simple ETL/ELT pipelines, helps train and compare ML models and integrates them into backend services via REST APIs. Core stack: Python, SQL, pandas/NumPy/scikit-learn/PyTorch, Docker, Git.
Designs and implements AI/ML algorithms for ad decisioning, bid auctioning, and creative optimization in digital advertising, using Python, TensorFlow, and real-time data pipelines.
Senior MLOps Solutions Engineer on the Pure Solutions team who designs and automates end-to-end MLOps pipelines and GPU-accelerated AI/ML reference architectures, integrating Pure Storage platforms (FlashBlade, FlashArray, Portworx) with Kubeflow, MLflow, and Ray. Day to day: CI/CD-driven pipeline automation, Terraform/Ansible-based infrastructure, and optimizing LLM inference with tools like NVID
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
Job Title: Machine Learning Engineer Job Type: Contractor Location: Remote About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems.…
Qutwo, a European quantum-AI lab in Helsinki, hires senior full-stack ML engineers to turn DNN-compression ML pipelines into a secure, production SaaS product. Day to day: Python backend services, frontends, and owning deployment on containers/Kubernetes with CI/CD, observability, and security.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
What will you get to do here? Design, develop, and deploy scalable optimization algorithms for supply chain, assortment planning etc. Translate business problems into mathematical formulations using tools like Linear…
Senior deep-learning engineer at Navio building trajectory-planning neural networks for autonomous driving, using Python, PyTorch/TensorFlow, and reinforcement learning.
Mid-level Data Scientist in VTB Bank's technology division (Moscow, on-site) who analyzes data to find patterns and anomalies in IT and partnership processes, builds forecasting and resource-load optimization models, and integrates them into production. Core stack: Python (pandas, scikit-learn), graph libraries (NetworkX), NLP/time series, and dashboards (Dash/Streamlit).
Thoughtworks is hiring a Senior AI Engineer in Bangalore to design, build, and deploy generative AI applications (RAG pipelines, agents, multi-agent systems) from prototype to production using Python, GenAI/agentic frameworks, vector databases, and cloud platforms like AWS, Azure, and GCP. The role also involves technical decision-making, code reviews, and mentoring junior engineers.
Senior Consultant AI/ML Engineer in EY's AI and Data practice in Quebec: works with client stakeholders to design, integrate, and test AI/ML solutions within client technology stacks. Core stack is Python with TensorFlow/PyTorch/Scikit-learn, cloud AI services (AWS, Azure, GCP), Git, and AI testing tools; bilingual French/English is required.
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
Senior Data Scientist on the AI Platform Team building and deploying scalable ML solutions for ad creatives and campaigns, using Python, modern ML frameworks (PyTorch/TensorFlow), and cloud infrastructure (AWS/GCP).
Designs, builds, and runs scalable machine-learning platforms that power OTT content recommendations and personalization for Coupang Play, focusing on low-latency, high-throughput inference systems.
The Senior Software Engineer will build and optimize large-scale AI/ML systems to protect the Airbnb platform from fraud and ensure community safety. The role involves working with cross-functional teams to productionize ML models and pipelines using technologies like Python, Java, Spark, and Kubernetes.
Outstaff role at SJ Global for a Senior AI Engineer building production AI/LLM services in Python: agentic workflows, RAG pipelines, LLM API integrations, evaluations, and ML pipelines. Requires 5+ years of commercial experience with strong Python/SQL and hands-on LLM work; remote, full-time, fixed monthly pay.
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