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Senior Data Engineer (Contract, Full-Time) [HR208]
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Backend Engineering Manager
Lead a backend engineering team building and scaling microservices, distributed systems, and data pipelines for a cybersecurity platform protecting critical infrastructure.
Data Architect
Designs and builds scalable data platforms, pipelines, and architectures using Kafka, Pub/Sub, Kubernetes, and other tools; leads PODs, makes architecture decisions, mentors engineers, and deploys GCP resources as code.
Staff Software Engineer- Data Ingestion
Leads the design and modernization of scalable data ingestion, storage, and processing systems, optimizing pipelines and mentoring engineers to build high-performance distributed infrastructure for analytics and AI.
Data Engineer MLE
Works as a Data Engineer/MLE at AI Labs, designing scalable data pipelines and ML systems for clinical trials. Core technologies include Python, AWS/Azure, Docker, MLOps tools (Airflow), and ML frameworks (PyTorch/TensorFlow).
Software Engineer - Integrations
Build and maintain cloud-native integration solutions, streaming pipelines, and RESTful APIs on Google Cloud Platform using Java/Spring Boot and Python, connecting enterprise systems like SAP and AS400 in an Agile team based in Sri Lanka.
Senior Software Engineer, ML Infrastructure
Build and maintain large-scale ML infrastructure on Kubernetes to process petabytes of AV data, run simulations, and train self-driving models using Python/Go and cloud platforms.
AI Engineer
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Fresher - Big Data Engineer
Builds and optimizes data pipelines for ingestion, transformation, and management at scale, using Python, SQL, and distributed systems like PySpark/Kafka. Focuses on real-world data problems, parallel processing, and performance tuning for a startup’s AI-driven decision intelligence products.
Lead Data Engineer
Lead Data Engineer responsible for designing and building scalable data pipelines, vector search systems, and ML data pipelines for an AI start-up, working with Python, PostgreSQL, and cloud technologies.
Senior Data Engineer
Design and build scalable, real-time data pipelines on GCP, integrating diverse sources and ensuring high performance and data quality for analytical use cases.
Data Engineer
Data Engineer designing, building, and maintaining secure data platforms/pipelines for operational intelligence; uses Python, Java/Scala, SQL, Apache Spark, Hadoop, AWS, Docker, Kubernetes, CI/CD.
Data Scientist
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
Data Analytics Specialist
Analyzes and optimizes complex cost models, data workflows, and reporting processes for a government agency, using SQL, Power BI, and Azure to automate workflows and improve efficiency.
Fullstack Engineer, RL Environments
Build and maintain the Studio platform, a full-stack React/Next.js frontend and Python/Node.js backend that powers AI data generation, QA, and delivery for thousands of expert contributors and AI labs.
Senior Data Scientist - Technical Specialist
Senior Data Scientist - Technical Specialist - Lead / Staff - Hybrid Working - London/Home Why join us In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer…