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Position Summary We're looking for a Data Engineer to design, build, and optimize ETL pipelines that ingest and transform priority datasets into an enterprise data platform, using AWS-native services within a…
Build and scale high-performance archiving systems that ingest massive social-media and enterprise data, using Python, Angular, AWS, Kubernetes, and event-driven microservices.
Lead a backend/platform engineering team building scalable APIs and services for SentiLink’s identity-verification products using Golang, Python, and AWS.
The project focuses on building and operating a highly automated, secure, and compliant multi-cloud virtual machine platform across Azure and AWS . The platform is designed for large-scale enterprise environments,…
Embrace a career with purpose at Nice North America, a subsidiary of Nice S.p.A., an Italian multinational leader in Home and Building Automation. Guided by our vision of creating A World Without Barriers, we develop…
Designs and optimizes scalable big data pipelines using Python, AWS services (Lambda, Redshift, Glue), and big data tools (Spark, Hadoop/EMR) to process and analyze large datasets.
Lead a team to design and implement AI-driven data governance solutions in Snowflake and AWS, enforcing privacy and compliance through agent-based automation.
Builds and maintains scalable data pipelines on AWS using Python, Spark, and Redshift to process large datasets for clients.
Builds the UI and backend for an AI agent workspace where users interact with autonomous agents; ships features continuously in Next.js/React/TypeScript and Python/FastAPI.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Build and deploy agentic AI systems on AWS that automate tax and compliance workflows for fintech and enterprise customers using Strands Agents, Bedrock, and Lambda.
Senior Python developer builds and scales Flask-based REST APIs and backend systems, using PostgreSQL, Redis, Celery, and Docker in a remote role for a high-growth client.
Location: Mumbai,Maharashtra,India LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and…
Design and integrate AI models into transportation infrastructure software, ensuring outputs meet civil engineering standards and improving data quality for safer, smarter cities.
Builds full-stack aviation weather applications using React, Go, .NET/C#, MongoDB, SQL Server, and AWS to deliver real-time data visualizations and APIs for pilots and dispatchers.
Designs and automates AWS cloud infrastructure, Kubernetes clusters, and CI/CD pipelines for a fast-growing community bank, ensuring secure, scalable deployments and DevSecOps best practices.
Builds and deploys secure, scalable AI systems in AWS/Azure, turning prototypes into production-grade platforms for legal ediscovery and case management using Python, Docker, Kubernetes, and CI/CD.
Designs and builds cloud-native backend systems for IoT and video platforms, focusing on real-time streaming, camera integration, and distributed architectures using JVM (Kotlin/Scala) and Python on AWS.
Lead a team to design, build, and deploy production-grade ML systems and pipelines using Python, PyTorch, and cloud-native tools to improve United Airlines' operations and customer experiences.
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
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