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DevOps AI role focused on designing and maintaining cloud infrastructures, CI/CD pipelines, and MLOps environments for AI solution deployment in production, working within an agile team alongside AI developers and data scientists.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
Design, develop, and maintain Power BI dashboards and reports using DAX and Power Query, write SQL queries, and support AWS Glue data pipelines to deliver BI insights across Operations, Finance, Logistics, and Corporate Services.
Senior Staff/Principal Software Developer building AI-native applications end-to-end, working full-stack with Python, Java, React, and cloud services (AWS/GCP) in a hybrid Toronto role.
Implement technical data governance—cataloging, quality, security, lineage—on an AWS-based platform using Lake Formation, Glue, Spark, Delta Lake, and Kafka, bridging engineering, compliance, and business teams.
UST is looking for the very Top Talent…and we would be delighted if you were to join our family! More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to…
About the company Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT! PUSHIT allows you to easily catch up on all the highlights you did…
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Designs and operates Hasbro/Wizards of the Coast’s enterprise AI platform, including model gateways, agent protocols, and governance frameworks to enable secure, scalable AI adoption across internal teams.
Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
Instruct and mentor a 13-week data science program covering ML, DL, NLP, GenAI, and model deployment using Python, TensorFlow, and AWS SageMaker in Riyadh.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
Build and scale data infrastructure and ETL pipelines in Python/PySpark to power analytics and data products for a global storytelling platform.
Build and lead Flagship’s cloud security and AppSec practice, embedding security into engineering pipelines and using AI tools to automate routine tasks while collaborating with I&O and portfolio teams.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness…
Description The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role…
Data Scientist, P&C Insurance - Remote Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland…
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
Lead AWS-based data platform engineering for credit risk models at Commonwealth Bank, focusing on cloud-native architecture, ML workloads via SageMaker, and large-scale data pipelines.
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