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You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Leads data science initiatives at a fintech bank, building Power BI dashboards, refining ML models for financial crime, and overseeing MLOps for model performance.
Lead a cloud transformation program for a healthcare company, building secure AWS platforms and optimizing MLOps workflows.
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . We work with…
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
Builds and scales production-grade Generative AI and Agentic AI solutions for enterprise clients, focusing on RAG, secure agent tooling, and scalable cloud deployments.
Oversees AI/ML product development for NVIDIA’s simulation division, managing LLM features, MLOps pipelines, and cross-team coordination to deliver agentic AI systems from research to production.
Builds and maintains scalable data pipelines, feature stores, and MLOps solutions for RBC’s AI-driven underwriting in retail credit, focusing on cloud (AWS/Azure) and on-prem infrastructure to enable rapid ML model deployment and governance.
Build and maintain cloud-native AI infrastructure, CI/CD pipelines, and MLOps tooling to deploy AI models to production, using AI-assisted coding tools.
Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Builds and scales a production-grade ML/MLOps platform for 300+ data scientists across 60+ teams, focusing on Databricks MLOps and AWS SageMaker infrastructure.
Sii Poland is hiring a Senior DevOps Engineer to build and manage AWS cloud infrastructure using Terraform for a global AI platform in the logistics sector. The role involves designing CI/CD pipelines, supporting MLOps, and collaborating with development teams.
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Desenvolve e mantém modelos de Machine Learning e Generative AI, desde a definição do problema até deploy e monitoramento, integrando soluções a produtos digitais via APIs ou pipelines.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
A Senior Data & AI Engineer who designs and builds AI solutions, mentors teams, and advises clients on data/AI projects while driving GenAI and MLOps initiatives at Datacation.
Builds and maintains data pipelines on Snowflake, integrates AI solutions like GenAI Suite and Klus Coach, and supports data science projects while managing Linux server infrastructure to drive business impact in a DIY retail environment.
Build and maintain scalable data infrastructure and pipelines for energy-grid analytics, enabling predictive models that optimize grid reliability and support the energy transition.
Designs and operates a cloud-based data platform for governance, risk, and compliance (GRC) SaaS, integrating business data, automating reporting, and building AI-driven workflows with governance controls.
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