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Junior Data Scientist
Junior Data Scientist at Veloxio Technologies, a startup building AI/ML and web solutions for clients. The role involves building and deploying ML models, Generative AI/LLM applications (RAG, embeddings, AI agents), and data pipelines, working directly under the CTO. Core stack is Python with Pandas, NumPy, and Scikit-learn.
Software Engineer II-Hybrid Role
Mid-level software engineer at Payarc, a payments company, who designs, builds, and maintains payment applications, APIs, and backend services with limited guidance in a PCI DSS-compliant environment. Works across a broad stack including PHP/Laravel, Java, Python, React, AWS, and Docker/Kubernetes; hybrid role based in Greenwich, CT.
AI/ML Engineer
Woolpert is hiring a Cloud AI/ML Delivery Engineer on its CSIS team for client-facing project delivery: discovery, solution design, hands-on build, testing, and user training for AI/ML solutions on Google Cloud Platform (Gemini Enterprise, Vertex AI, BigQuery, TensorFlow). Hybrid role based from a US office; 8+ years consulting experience required.
Member of Technical Staff, Research (2026 PhD New Grad) - Seattle
Fireworks AI is hiring a recent or upcoming PhD graduate (completion by Dec 2026) for its Research team in San Mateo to conduct foundational research advancing LLMs and multimodal systems, taking prototypes to production-grade AI infrastructure. Core work spans model architectures, training methods, and optimization using Python/C++ and frameworks like PyTorch, JAX, or TensorFlow.
AI/ML Developer
Entry-level AI/ML Developer in Maharashtra (Mumbai, Navi Mumbai, Thane) who collaborates with a data science team to build and optimize machine learning models and algorithms, using Python with PyTorch, TensorFlow, Pandas, and NumPy. Suited to recent graduates or those with up to one year of AI/ML experience.
AI & Data Science Engineer
Data Scientist at DXC Technology in Bari (hybrid/smart working) supporting AI and Generative AI projects for clients — building ML, NLP and computer-vision solutions and helping with presales materials. Needs 2–5 years of Gen AI experience with Python, TensorFlow, PyTorch and Scikit-learn; gross annual salary from €38,000.
Staff Deep Learning Compiler Engineer
Senior engineer designing and optimizing Quadric's deep learning compiler stack (MLIR, TVM, LLVM) that lowers PyTorch/TensorFlow/ONNX models onto its GPNPU edge-AI processor — graph optimizations, quantization, kernel codegen, benchmarking, and hardware-software co-design with the architecture team.
Sr. Machine Learning Engineer
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
AI Engineer
AI Engineer at Ford in Dearborn, MI (on-site 4 days/week) building analytical, machine learning, and AI solutions to improve customer experience, revenue, and efficiency. Works the full ML lifecycle — preprocessing, feature engineering, training, evaluation, deployment — using Python (TensorFlow, PyTorch, scikit-learn), GenAI, and cloud/AI platforms.
AI Architect
AI Architect (remote, Toronto-based company) leading design and delivery of enterprise AI/GenAI platforms: architecting scalable ML and LLM solutions with Python, TensorFlow/PyTorch, cloud MLOps on AWS/Azure/GCP, agentic frameworks like LangChain and Copilot, plus prompt engineering, RAG pipelines, and AI governance.
Freelance Data Science Engineer (Python & SQL)
Freelance, project-based role at Mindrift: design and verify original computational data science problems (Python with pandas/numpy/scikit-learn, plus SQL) that simulate real-world business workflows to support GenAI model training. Estimated 10-20 hours/week during active project phases, paid up to $55/hour.
AI/ML Engineer (Agentic AI & Data Science) #IAC
Singapore-based AI/ML engineer role: build agentic AI workflows, RAG pipelines, vector search and LLM applications (Dify, LangChain/LangGraph), plus predictive ML models and Python REST APIs deployed on Docker/Kubernetes/OpenShift. Posted via Recruit Express, apparently for a banking/wealth-management employer.
Product Engineer (Advance Data Analytics), Heterogeneous Integration Group...
Product Engineer in Micron's HBM Product Engineering Advanced Data Analytics team, driving semiconductor yield and quality improvement through statistical analysis, machine learning, and AI models, while building data infrastructure pipelines and collaborating with cross-functional teams. Onsite in Singapore with travel to Taiwan.
AI/ML Engineer (Agentic AI & Data Science)
About the Role We are seeking an AI/ML Engineer with strong Data Science and Generative AI capabilities to design and deliver next-generation AI solutions across Global Financial Markets. The role will focus on…
Research Engineer I (Computer Science / Artificial Intelligence / Data Science / Electrical Engineering)
Research Engineer at the Alibaba-NTU ANGEL sustainability lab in Singapore, developing Green AI: LLM and ML algorithms, efficient techniques (PEFT, RAG, prompt engineering, efficient inference), benchmarking experiments, and academic publications. Core stack is Python with PyTorch/TensorFlow and distributed training on large-scale datasets.
Remote Machine Learning Engineer - Big Data Analytics
Fully remote machine learning engineer for a data analytics firm, owning the end-to-end ML lifecycle — building data pipelines, training and deploying models on big data tech like Spark/Hadoop — using Python/Scala, cloud ML services, and MLOps practices.
AI Engineer
AI Engineer at NTT DATA's Romania Excellence Centre in Bucharest, building LLM-powered multi-agent systems for a digital banking client. Day-to-day: designing agentic workflows, orchestration, RAG pipelines, and evaluation suites with Python, Google ADK/LangGraph, vector databases, and cloud platforms.
AI Engineer, Time-Series Signal Processing
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.