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AI Solution Architect
AMINA Bank's India subsidiary seeks an AI Solution Architect to lead the technology side of an AI squad building process automation and agentic-AI solutions for a regulated banking environment. The role designs LLM/RAG-driven workflows, APIs, and integrations on Microsoft Azure, and contributes hands-on from concept to production.
Data Engineer
Build, maintain, and document scalable data pipelines and data ingestion processes. Develop and support ETL/ELT workflows to ensure reliable and efficient data movement across systems. Assist in developing batch and…
AI Engineer (Indian Candidates)
Design, develop, train, evaluate, and optimize machine learning and deep learning models. Perform feature engineering, data preparation, and dataset validation to improve model performance. Translate business and…
AI Engineer
Design, develop, train, evaluate, and optimize machine learning and deep learning models. Perform feature engineering, data preparation, and dataset validation to improve model performance. Translate business and…
[Expression of Interest] Data Engineer
Data Engineer on Experian's Ascend Sandbox team in Kuala Lumpur, building and scaling a cloud-based analytical platform for clients and data scientists across APAC. Day to day: Python/PySpark/SQL pipeline development, AWS data services (S3, Glue, Athena, Redshift, EMR), orchestration, data quality, and governance.
Odoo Enterprise Implementation Consultant
Job Title: Odoo Enterprise Implementation Consultant Job Location : Doha, Qatar / Kerala, India (Hybrid) Number of Vacancies :1 Job Summary: We are seeking an experienced Odoo Enterprise Implementation Consultant to…
Sr. Full-Stack AI Engineer
NOW HIRING | SENIOR FULL-STACK AI ENGINEER | DUBAI, UAE Position Title: Senior Full-Stack AI Engineer Location: Dubai, UAE (Onsite) Contract Type: 4 to 6 Month Contract Compensation: Based on experience Role Overview…
Data Scientist - Remote
The Data Scientist will work with cutting edge cloud-based services and machine learning algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. In partnership with clinicians, cloud…
Principal AI Platform Engineer (ML focused leadership role)
Principal Machine Learning Platform Engineer Sydney | Hybrid | Permanent We're partnering with an established, technology-led organisation that is investing significantly in its machine learning and AI capabilities.…
Senior Security Engineer – XDR and Automation
Full-Time | Location: Hybrid – Massachusetts (On-site 1x/week required) About the Company CyberTrust Massachusetts is a non-profit committed to growing and diversifying the cyber workforce, creating new and innovative…
AI Data Engineer
AI Data Engineer at GE HealthCare's Advanced Imaging Solutions builds shared data tools, ingestion/annotation pipelines, and AI infrastructure for global ultrasound teams — evaluating platforms, running benchmarks, and operating shared environments in Python/SQL on cloud. Based in Zipf, Austria, hybrid with min. 3 office days/week.
Senior Devops Engineer - Remote (Aws/Eks/Terraform)
Senior Cloud/DevOps engineer owning the AWS infrastructure and reliability layer behind an enterprise healthcare data platform: operating Kubernetes/EKS, administering Argo Workflows, writing Terraform IaC, running CI/CD, observability and major-incident response, and mentoring engineers during a 9AM-6PM ET LatAm window.
Machine Learning Engineer Data Scientist
Builds and evolves Ford's internal MLOps platform on Google Cloud so enterprise data scientists can take ML to production: deploying and retraining models via CI/CD and continuous-training pipelines, building REST APIs on Kubernetes, and standardizing ML practices with Python, GCP (Vertex AI, BigQuery), Docker, and Git.
AI Engineer / AI Agent Developer
We are hiring an AI Engineer / AI Agent Developer on behalf of our client. This role involves designing and building intelligent AI agents and LLM-powered applications that can reason, use tools, and automate real…
Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate (Toronto)
Senior data science consultant at Simon-Kucher's Elevate team, applying AI, machine learning, and analytics to healthcare and life sciences client engagements — pricing, market access, forecasting, launch, and commercial strategy — building predictive models in Python/SQL and delivering client-ready analyses.
Senior Consultant, Data Science – Elevate – Healthcare & Life Sciences
Senior data science consultant at Simon-Kucher's Elevate team, analyzing healthcare and life sciences data to build predictive models and AI solutions supporting pricing, market access, launch, and commercial strategy for pharma, biotech, medtech, and payer clients. Core stack: Python, SQL, BI tools, and cloud ML platforms.
Senior Data Engineer - Cloud Platforms
Senior Data Engineer working a hybrid model from Centurion, South Africa, designing and maintaining scalable cloud data pipelines, warehouses, and lakes (AWS/Azure/GCP) using SQL, Python/Scala/Java, Spark, Kafka, and Airflow to power analytics and BI, while collaborating with data scientists and mentoring junior engineers.
Principal AI Software Engineer - MLOps
Senior MLOps engineer in Pretoria who designs, builds, and maintains end-to-end machine learning pipelines and infrastructure — automating data versioning, training, deployment, monitoring, drift detection, and retraining. Core stack includes Python/Go/Java, Docker/Kubernetes, cloud ML platforms (AWS/GCP/Azure), and tools like Kubeflow, Airflow, and MLflow.
Founding Backend Engineer
Founding backend engineer at an early-stage fintech, designing and operating backend services, public APIs, financial integrations (banks, ERPs), ETL/reconciliation pipelines and ledger foundations — using AWS/GCP, Docker, event-driven and workflow tooling, plus LLMs in production where valuable.
Staff Data Engineer
Staff ML Data Engineer on RBC Wealth Management's Data & AI team in Toronto, building feature stores, training datasets, and production data pipelines that serve both AI/ML and BI/analytics workloads. Core stack: Python, SQL, Databricks, Snowflake, Spark, and cloud-native ML/GenAI infrastructure.