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Designs and deploys enterprise-scale AI/ML and Generative AI solutions using Snowflake Cortex and cloud platforms, guiding clients from discovery to production deployment.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Build and deploy large-scale machine learning systems for global mapping and location-based services using Python, PyTorch, and MLOps tooling in a hybrid role based in Malmö, Sweden.
Build and maintain scalable data pipelines and cloud data warehouses for Poland’s largest e-commerce platform using GCP, Python, PySpark, and Airflow.
Principal Data Scientist at SimpliSafe designs and deploys ML models for customer acquisition, retention, and personalization in home security, using Python, SQL, and cloud platforms.
Lead the design and delivery of generative AI systems, including document intelligence and RAG pipelines, using Python, LangChain, and Google Cloud tools.
Designs and delivers enterprise-scale AI solutions, focusing on generative AI, agentic workflows, and cloud-based AI services like Azure AI or AWS AI.
Principal Data Scientist at AbbVie designs, builds, and deploys AI/ML models to optimize pharmaceutical commercial strategies, using Python, R, SQL, and cloud platforms to analyze healthcare provider and patient data.
Senior engineer embeds with government clients to design and deploy GenAI solutions on Snowflake, prototyping working AI features and coaching teams on platform capabilities.
Leads Azure and AI security projects for enterprise clients, designing controls for Azure AI services and automating secure cloud/MLOps pipelines while managing teams and client relationships.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Designs and implements scalable Databricks Lakehouse platforms for enterprise customers, advising on architecture, governance, and AI/analytics solutions while collaborating with technical and executive stakeholders.
Build and deploy production-grade LLM/NLP systems for financial services, fine-tuning models, optimizing pipelines, and ensuring low-latency, high-availability AI workflows in regulated environments.
Senior ML Engineer builds and curates large-scale vision-language datasets to train Torc’s autonomous truck-driving models, using cloud pipelines, open-vocabulary labeling, and distributed compute.
Build and scale machine learning infrastructure for a healthcare-focused insurer, training models on millions of patients and serving real-time quotes with low latency.
Lead cloud-based software and AI solution delivery using Azure, focusing on DevOps/MLOps practices, security, and compliance while mentoring teams.
Sobre a Inmetrics A Inmetrics é uma AI Engineered Company: redesenhamos nossa própria operação com inteligência artificial antes de levar esse modelo aos clientes. Nossa linha de AI Transformation entrega a execução do…
Senior Data Scientist builds and scales production-grade optimization and ML solutions using Python, LP/MIP, and cloud tools to solve complex business problems.
Senior Data Engineer (ML) builds and migrates machine learning data pipelines from Databricks to AWS SageMaker, ensuring parity in a regulated iGaming environment using Python, PySpark, AWS data/ML stack, and CI/CD tools.
Junior consultant builds and deploys AI/ML models, LLMs, and RAG systems for enterprise clients, working across the full data-to-production pipeline in a hands-on consulting role.
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