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Senior data engineer on the AdTech team building scalable batch and real-time data pipelines and backend services for advertising reporting and analytics using Spark, Flink, Kafka, Airflow, and AWS.
Develops software for a brain-computer interface (BCI) platform, focusing on decoding neural data to enable communication for ALS/stroke patients via AI algorithms.
The Senior Lead Data Scientist will architect graph-based data models and develop predictive forecasting models to support identity resolution and operational decision-making. The role requires deep expertise in graph technologies, Python, and production-grade machine learning to build scalable analytical solutions.
Build and operate production ML models and AI-driven systems for anomaly detection across Disney's streaming platforms (Disney+, Hulu, ESPN). Core tech: Python, PyTorch, FastAPI, MLflow, AWS/EKS, Docker, and time-series data processing.
Senior Golang engineer modernizes a smart utility platform, migrating time-series data pipelines and backend services to scalable, cloud-native architectures.
On behalf of one of its clients in Industrial technology solutions, the French Chamber of Commerce in Singapore is seeking an experienced Data Scientist with proven experience in data science and engineering to develop…
Software Engineer II building and operating production ML models and AI-driven anomaly detection systems for Disney's streaming ecosystem (Disney+, Hulu, ESPN) using Python, PyTorch, FastAPI, and AWS.
Build and deploy AI/ML models for patient monitoring, transforming physiological signals into clinical insights using Python and deep-learning frameworks.
Senior backend engineer building Go services and REST APIs for GPU fleet health monitoring, telemetry ingestion, and cloud automation at NVIDIA’s DGX Cloud.
Lead a team of engineers rearchitecting core analytics and compliance services on BlackRock's Aladdin platform, building scalable Java-based, API-first distributed systems in a hybrid NYC role.
Job Description Roles and Responsibilities Process, quality-control, and analyze metocean data from a diverse range of sources, including offshore platforms, moored buoys, and remote sensing equipment deployed for…
As a Machine Learning Software Engineer at RBC Borealis, you will design, build, and deploy scalable machine learning solutions and pipelines for financial services. You will work across the full development lifecycle, collaborating with researchers to integrate AI into production systems.
The Data Scientist II will develop and deploy scalable AI and machine learning solutions for business use cases like demand forecasting and logistics optimization. The role involves collaborating with engineering teams to implement models on Google Cloud Platform and contributing to data science best practices.
Job Description Summary #LI-Hybrid This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Builds predictive models and real-time analytics to optimize solar PV and BESS plant performance, focusing on generation forecasting, fault prediction, and operational efficiency.
Build and deploy forecasting and optimization models for a virtual power plant platform that manages distributed energy resources like batteries and EVs.
This Data Scientist role involves developing and deploying machine learning and statistical models to optimize marketing investments and campaign performance. The position requires proficiency in Python, SQL, and advanced statistical methodologies to drive strategic decision-making within a marketing analytics team.
Data Scientist at Askuity (Home Depot division) designing and deploying ML models, GenAI/RAG solutions, and analytics pipelines on GCP/Vertex AI to power retail and supplier decision-making.
Lead ML research engineering at RBC Borealis, delivering AI projects end-to-end—from data preprocessing to production—using Python and deep learning frameworks (PyTorch/JAX/TF) on large-scale datasets for NLP, generative AI, and time series problems.
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