Tech jobs
Job listings
Lead Data & AI Platform Engineer
Lead the design and optimization of Under Armour’s cloud data platform, building scalable ingestion and transformation pipelines with Snowflake, dbt, and AWS tools to power AI-driven analytics and enterprise decision-making.
Senior Machine Learning Engineer, MLOps
Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Machine Learning Engineer, MLOps
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Data Scientist
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Junior Security Automation Engineer
Builds and maintains Python-based automation workflows and REST API integrations to connect enterprise security and operational systems, with a focus on data parsing and task automation.
INSAR Geospatial Data Platform Engineer
Builds and optimizes a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms using Python, HPC, and cloud tools.
Backend Java Developer / AWS DevOps - Full Remote
Develops and maintains Java backend services using Spring Boot and AWS cloud services for an insurance-focused project, handling databases, S3 integrations, SQS queues, and DevOps tasks.
Data Engineer, PDS&T CMC
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
Senior Software Engineer, Internal Applications
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
Analytics Engineer
Build and maintain data pipelines with Estuary and dbt, write SQL and Python on Amazon Redshift to transform raw data into clean, tested datasets for analytics at Flutterwave.
DevOps Engineer
Build and maintain Later’s cloud infrastructure, Kubernetes clusters, and MLOps pipelines to deploy AI models reliably using AWS, Terraform, and CI/CD tools.
Lead Data Engineering Consultant
Ippon Australia is a team of true technologists who leverage contemporary thinking and tools to enhance the way our clients drive value. Whether it’s a bespoke platform to improve employee engagement within a national…
GCP Data Engineer
Your Career, Accelerated. We’re a growing global tech consultancy. Some of the world’s biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life. We’re the home base for talented…
Sr. Account Manager, AI Sales
POSITION SUMMARY This is a remote role. preferably based out of Central US major market. The Sr. Account Manager, AI Sales serves as a key resource and trusted advisor to OEM customers/partners wanting to deploy AI in…
Manager 2, Rapid Digital Solutions
Builds AI-powered prototypes in 4-week cycles to solve pharma supply-chain and manufacturing problems, then hands them off for production. Uses Python, ML, LLMs, and low-code tools to deliver data-driven solutions.
AI Modernization Senior Lead Software Engineer
Lead the modernization of legacy mainframe systems (COBOL, JCL, DB2) into modern Kotlin/JVM services using AI agents, RAG pipelines, and automated verification to ensure correctness and compliance in wealth management technology.
Senior Lead Software Engineer- Python Distributed Development and AI Modernization
Lead a team building AI agents that modernize legacy mainframe systems into scalable, auditable services using Python, Kotlin, and distributed architectures.
Apache Airflow , Informatica , Snowflake, Azure services, Java design patterns, Data modelling, Spring boot,Strong Python Programming -6-9-CHN
Builds and optimizes data pipelines and microservices using Python, Java/Spring Boot, and cloud-native tools like Airflow, Snowflake, and Azure.