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The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform, focusing on big time-series data. The role involves working with cloud-based data warehouses, ETL/ELT processes, and distributed systems to support advanced analytics.
The Data Scientist will design, build, and maintain scalable AI and data solutions for e-mobility, including telemetry analytics and computer vision. The role involves the full lifecycle of data products using Python, SQL, and Azure-based cloud platforms.
Build datasets, create dashboards, and prototype predictive and time series ML models using SQL and Python for an in-house data team.
Senior Data Engineer (Metadata & Lineage Integration) Location: Remote from Spain (an indefinite Spanish employment contract) A continuación, encontrará un desglose completo de todo lo que se requiere de los…
The Senior Data Analyst leads complex traffic safety data analysis projects to inform government policy and decision-making. The role involves developing predictive models, creating interactive dashboards, and ensuring data governance standards using tools like SQL, Python, R, and visualization platforms.
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
Leads data quality and QA/QC for water-pipeline condition assessment, combining hands-on Python/PostgreSQL analysis with team mentorship and workflow automation to ensure reliable client-ready results.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing…
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…
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
Lead observability and monitoring for enterprise-scale platforms, defining strategy, standards, and reusable tools to improve system reliability and developer productivity across Kubernetes/Azure environments.
AI/ML Engineer designing, deploying, and sustaining production ML models, NLP/genAI solutions, and real-time decision-support systems for a SOCOM mission partner using Python, ML frameworks, and MLOps/DevSecOps practices in secure environments.
Role overview We are looking for a Staff Data Scientist to lead the development of advanced machine-learning capabilities across large-scale enterprise datasets. This is a senior individual-contributor role combining…
Job Details New ideas are all around us, but only a few will change the world. That’s our focus at JPL. We ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided…
Core Languages: Proficiency inPython and SQL (specifically for time-series databases). Time-Series Data: Experiencewith databases suited for sensor data (e.g., InfluxDB, TimescaleDB, orIoT-specific data stores).…
Develops and maintains trading systems, troubleshoots production issues, and optimizes IT infrastructure for a fintech firm’s proprietary trading and asset management operations, collaborating closely with quant researchers and traders.
Lead the design and standards for core data pipelines, time-series alignment, and observability at a proptech company, ensuring scalable, trusted data foundations for Digital Twin and AI teams.
Builds production-grade data pipelines to validate, clean, and normalize energy meter data into trusted datasets, collaborating with engineering and domain teams to ensure scalability and accuracy.
Designs, builds, and tests electronic batch records in Siemens OpCenter for GSK’s manufacturing sites, converting process docs into MES workflows and ensuring GMP compliance.
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