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Job Title: Block-Builder Engineer Who we are: Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.…
Lead Data Scientist builds and deploys predictive models and causal inference methods to forecast user behavior and business outcomes, working end-to-end in Python, SQL, and Spark.
Who We Are We are an ambitious, committed and seasoned team of systems engineers, cryptography specialists, security analysts, data scientists, and customer-facing managers. We are looking for people that embrace an…
Senior backend engineer building WIRE, a platform for mining operations using Python (Flask/SQLAlchemy) and Go, with PostgreSQL and Celery.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Who We Are At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because…
About the Company: Netspend Corporation is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions to consumers worldwide.…
Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
Senior AI & Data Scientist who designs, builds, and deploys end-to-end ML models (forecasting, classification, LLM fine-tuning) for enterprise clients, bridging business needs with technical execution.
About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the…
Overview Microsoft Quantum has assembled a talented and diverse international team to build the world’s first scalable quantum computer. The research and development effort includes a diverse staff of theoretical and…
Develops AI models for e-commerce logistics, including address verification, sales forecasting, and package trajectory prediction using NLP, LLMs, and deep learning.
Builds ML models for e-commerce supply chain forecasting, logistics optimization, and demand prediction using time series, deep learning, and NLP/LLM techniques.
The Data Analyst & Integrator will support the City of Toronto's Parks & Recreation division by ingesting, cleaning, and analyzing large datasets to provide actionable insights. The role involves building dashboards, automating data pipelines, and using statistical tools like Python, SQL, and R to inform strategic decision-making.
The Senior Data Scientist will lead machine learning efforts for physical measurement data, focusing on anomaly detection and classification using Python. The role involves improving existing production models, mentoring team members, and collaborating with hardware specialists to enhance data quality and model performance.
Builds and deploys AI/ML pipelines and data infrastructure for DHL’s global logistics operations, using cloud (Azure/GCP) and on-prem tools like Spark, Kafka, and Kubeflow to process petabytes of transactional data into predictive models and analytics.
About Sand Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate…
Senior Finance Data Scientist at Intercom builds predictive models to forecast revenue, expansion propensity, and customer LTV using Python, SQL, and time-series techniques for a SaaS AI customer agent product.
Leads a data engineering team to design, build, and maintain scalable data pipelines (batch/real-time) and platforms (Data Lake, DWH) for gambling operations, ensuring data quality, security, and alignment with business goals.
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