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Build and maintain end-to-end AI/ML pipelines, deploy models to production, and optimize inference for performance and scalability using cloud-native tools.
Architect, build, and maintain end-to-end AI/ML pipelines—from data ingestion through deployment and monitoring—while implementing MLOps practices and integrating models into enterprise systems on AWS/Azure.
Senior Software Engineer building scalable cloud, Big Data, and ML infrastructure for AI-driven Workforce Management capabilities on AWS using Python/Java/Scala, Spark, and distributed data pipeline tools.
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia’s Best Places to Work year after year! We are actively seeking a junior to mid-level software developer for the Machine Learning Operations…
Lead the industrialization and productionization of data pipelines, ML models (including LLMs/AI Agents), and AI solutions in a financial sector client environment, coordinating across Data Science, Engineering, Architecture and Ops teams using Python, PySpark, AWS, Docker, Kubernetes and MLflow.
This role involves developing machine learning models, designing data pipelines, and deploying models into production using Python, Spark, SQL, and FastAPI. The position is 100% remote and focuses on the end-to-end lifecycle of ML models within a dynamic consulting environment.
The Senior Data Science Engineer will own the full lifecycle of risk detection systems, building and deploying LLM and classical ML models within a SaaS platform. The role requires a blend of data engineering, MLOps, and applied machine learning to develop scalable pipelines and production-ready AI solutions.
Additional Location(s): N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in…
Overview This is an exciting time to join our group Commercial Engineering & AI (CEAI) as a Software Engineer and work on something highly strategic to Microsoft. The goal of the Commercial Engineering & AI…
Data/AI Solution Developer designing, building, and improving data-driven and AI-enabled solutions using Python, machine learning, and cloud platforms to support decarbonization in the maritime industry.
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.
Monitor and maintain AI/ML models and agent-based systems in production, handling incident management, governance, and CI/CD pipelines using Python, Docker, Azure, and monitoring/logging tooling.
The Role We're hiring a Forward Deployed Engineer to work directly with customers after they've signed, building the connectors and integrations that plug their environment into Trustible. This is a core app…
NTT DATA Europe & Latam is seeking an experienced ML/AI Architect to design and deploy AI solutions on Microsoft Azure, covering data ingestion, feature engineering and model training. You will implement MLOps,…
Specjalistka/Specjalista ds. Data Science projektuje, wdraża i optymalizuje modele ML oraz integruje je z systemami, tworząc rozwiązania oparte na LLM. Zarządza cyklem życia modeli, buduje potoki CI/CD i monitoruje wydajność algorytmów w środowisku produkcyjnym.
Designs and maintains PayJoy’s global data architecture for customer support analytics, focusing on Medallion Architecture, semantic layers, and scalable pipelines with Databricks/dbt.
Build and maintain cloud-based data infrastructure (Databricks, Snowflake, Kafka) for analytics and ML teams at a gaming and entertainment company in Renton, WA.
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that…
Hands-on Data Scientist supporting LATAM client engagements on Provenir's AI Decisioning platform, building and explaining predictive models, scorecards, and analytics using Python for financial services risk and decisioning use cases.
The Forward Deployed Engineer embeds with industrial customers to lead computer vision deployments from proof-of-concept to production. This role requires hands-on Python development, systems-level configuration, and frequent on-site travel to solve real-world challenges in manufacturing and logistics environments.
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