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AIA Singapore is hiring a fresh graduate to work on enterprise-scale AI, Generative AI, and MLOps initiatives within the financial services sector. The role involves collaborating with cross-functional teams to support customer engagement, underwriting, and operations.
Machine Learning Engineer (KTP Associate) (CC13642) - Bath, BA2 7AY Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development…
Silicon Quantum Computing (SQC) is hiring a Machine Learning Engineer into Automated Calibration Services in Sydney. You will build models that decide when calibration runs occur and ensure uncertainty is quantified,…
Research Engineer builds and scales ML training systems for voice AI models (STT/TTS), automates pipelines, and creates internal tools to accelerate research and deployment.
The Data Mapping & ML Engineer will design and implement data mapping, ML-driven matching, and semantic models to enhance data transformations. The role involves building scalable pipelines using Databricks, PySpark, SQL, and Python while ensuring data governance and architectural alignment.
The Senior Machine Learning Engineer will design, develop, and deploy NLP and LLM-based solutions into production environments. The role involves architecting scalable ML pipelines and collaborating with cross-functional teams to integrate AI models into the company's geospatial platforms.
Realtech Services is seeking a Senior Python Backend Engineer to design and build scalable backend services for AI/ML and agentic systems. The role involves working with Django, PostgreSQL, and AWS in a distributed systems environment.
(This role is based at our Singapore headquarters; overseas applicants are welcome but must work on-site.) TacnIQ.ai is bridging AI and the physical world , building the foundation model for physical interaction,…
The Lead AI/ML Engineer will oversee the architecture and development of an AI-driven supply chain platform, managing end-to-end integration and mentoring a team. The role focuses on building scalable backends, implementing ML models, and maintaining robust MLOps pipelines using cloud technologies.
The Senior Backend Engineer will develop distributed Parameter Server systems for large-scale machine learning training and inference, focusing on high-performance C++ development to support e-commerce recommendation and advertising algorithms.
12-month placement in Keysight's Software R&D team developing AI/ML-powered software for 5G telecommunications systems using Python, machine learning frameworks, and LLMs.
AI/ML internship at a quantitative trading firm in Gurugram, aimed at 2027 and 2028 graduates.
Job Description: Develop distributed Parameter Server (PS) systems for large-scale sparse model training and inference platforms in the search, advertising, and recommendation domains. The system should support…
Build and optimize distributed ML training/inference systems for ByteDance’s AI platforms, focusing on scheduling, resource allocation, and model deployment across heterogeneous hardware.
Research Scientist at ByteDance working on ultra-large-scale multimodal recommendation systems, focusing on distributed ML infrastructure, model training/inference optimization, and algorithm-engineering co-design for products like TikTok.
$120000 - $160000 Senior AI/ML Engineer (Python) Onsite - Wilmington, NC Our client, a fintech company building proprietary deterministic-mathematics and AI systems that forecast the pricing of commodities, real-world…
Builds and deploys AI/ML models for national security solutions, focusing on architecture, data, and security standards.
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Machine learning engineer in an R&D communications systems environment, working on data science, data visualization, and software testing using Python, Git, and FPGA technologies in a hybrid role based in Kanata.
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