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Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
Data Engineer IV designing, building, and maintaining ETL/ELT pipelines, dimensional models, and Neo4j graph database solutions (Cypher) to enable reliable, scalable data for business analytics and decision-making.
Kotak Mahendra Bank is seeking a highly skilled Principal Engineer to lead a critical product engineering team, bringing expertise in cutting-edge technologies. Reporting directly to the Head of Engineering, this role…
Design and build enterprise ontologies, knowledge graphs, and semantic data models using W3C standards (OWL, RDF, SPARQL) and graph databases to connect raw operational data with AI-ready intelligence for defense programs at RTX.
Designs and oversees a modern, enterprise-scale data platform for TD’s Global Transaction Banking, focusing on real-time pipelines, AI-ready foundations, and data products. Defines architecture for data ingestion, processing (Spark/Flink), storage, governance, and APIs while ensuring scalability, cost optimization, and regulatory compliance.
Build and evolve an autonomous, LLM-driven web application penetration testing agent using Python and AWS Bedrock, focusing on agent orchestration, tool design, and evaluation infrastructure for a cybersecurity company.
Senior Data Engineer builds secure, high-reliability pipelines and graph analytics for government clients using Python, Spark, SQL, and cloud platforms like Azure/AWS/GCP.
Senior full-stack developer in Veepee's Media Production team, building and maintaining the tools suite that supports the end-to-end media production workflow using React.js, Node.js, MongoDB, PostgreSQL, and Kafka/RabbitMQ.
The Senior Site Reliability Engineer will manage and scale Maze's cloud infrastructure, focusing on reliability, security, and observability. The role involves automating workflows, supporting compliance initiatives, and collaborating with engineering teams using tools like AWS, Kubernetes, Terraform, and Datadog.
About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve…
This senior backend role involves building the core of an AI operating system using Java, Go, and Python. The position focuses on LLM integration, agent orchestration, and retrieval infrastructure within a distributed systems environment on AWS.
The Senior AI Software Engineer will build core backend services, LLM integration layers, and retrieval infrastructure for an AI operating system. The role focuses on platform engineering using Java, Go, and Python within a distributed AWS environment.
Build and scale data infrastructure and graph systems for crypto/finance analytics, including ETL pipelines, PostgreSQL, Neo4j, and AWS deployments to power real-time risk and surveillance tools.
Builds and maintains full-stack Java applications for a fintech company, focusing on backend services (Spring, microservices) and frontend (Angular) with security (JWT/OAuth2) and database integration (Neo4j/PostgreSQL).
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Build and operate ELT pipelines and a unified healthcare data ontology on AWS/Snowflake, using Python, SQL, and orchestration tools like Prefect or Airflow.
The Senior AI Engineer will develop production-grade AI systems using Python, focusing on agentic workflows and knowledge graph integration. The role involves building applications with frameworks like LangChain and integrating LLM APIs.
Builds and optimizes large-scale distributed data processing systems on AWS Databricks, designing pipelines and data lakes to ingest, validate, and monitor data from diverse sources for a fintech security company.
The Technical Product Owner will lead the semantic AI and knowledge graph product segment for the CIVORA urban data platform. This role involves defining product strategy, building prototypes, and collaborating with municipal partners and engineering teams to implement AI-driven urban solutions.
Build and maintain scalable DevOps infrastructure for AI-driven cybersecurity systems, using AWS, Kubernetes, Terraform, and GitOps to deploy and monitor AI models and agents in production.
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