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Compute Platform Engineer II
Build and operate a hybrid cloud/HPC compute platform for GSK’s R&D teams, enabling scalable data analysis and AI workflows with CI/CD, Kubernetes, and observability tooling.
Senior Compute Platform Engineer
Build and operate a hybrid cloud/HPC compute platform for GSK’s R&D teams, focusing on scalable workflows, CI/CD, and metadata-driven automation to accelerate drug discovery and data analysis.
Sr. Compliance Tech. Business Analyst, Vice President, Onsite
Leads business analysis for a next-gen sanctions screening platform, defining AI/ML requirements to cut false positives by 90-95% while aligning with compliance and regulatory needs.
Staff Software Development Engineer
Staff Software Development Engineer at Nokia in India designs, builds, and deploys machine learning models to analyze telecom and embedded systems data, driving data-driven decisions using Python, SQL, and cloud platforms.
AI Analyst Intern
Intern conducts AI-focused market research, bridges business needs with technical solutions, and prototypes ML models using Python and frameworks like TensorFlow/PyTorch.
Data Scientist
A data scientist consultant partners with business teams to identify problems, build ML/AI models, and deploy analytics solutions using Python/R, SQL, Spark, and cloud platforms like AWS.
Data Scientist
Build and maintain production-grade data pipelines, retrieval infrastructure, and ML/LLMOps foundations for AI initiatives like conversational assistants and RAG applications using Snowflake, PySpark, Kafka, and vector stores.
Architect
Designs and implements data and machine learning architectures for a global media client using Azure Databricks and Azure Machine Learning, focusing on audience analytics and content workflows.
Data Scientist
Designs and deploys AI/ML models and GenAI solutions to extract insights from industrial and business data, using Python, cloud platforms, and MLOps practices.
Senior Manager - Fraud Analytics
Senior Manager – Fraud Analytics Do work that matters Business Banking manages relationships with small-to-medium enterprise customers, mid-market corporate customers and regional and agribusiness clients, delivering a…
Principal Data Scientist
Principal Data Scientist designs, deploys, and monitors AI/ML solutions—including GenAI, agentic systems, and traditional models—to transform customer service and operations in a large bank.
Data Scientist (Supply Chain)
Build and deploy ML models and optimization algorithms to improve supply chain, manufacturing, and logistics decisions using Python, SQL, and tools like TensorFlow and Gurobi.
Senior Machine Learning Engineer
Design, build, and deploy ML models to improve prediction and decision-making across Absa’s African banking operations, using Python, MLOps, and cloud-native tools while ensuring responsible AI and regulatory compliance.
1104 | Senior Data Engineer (Databricks)
Build and maintain Databricks pipelines that fuse ERP and CRM data into real-time, AI-driven revenue insights for mid-market enterprises, ensuring reliability, cost efficiency, and global scale.
Data Science Manager
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Data Engineer , CXI/OIS Analytics , Ops Tech Solution Network Dev
Build and maintain scalable data pipelines and ML-ready infrastructure that power AI-driven insights for Amazon’s global fulfillment networks, enabling predictive analytics and GenAI solutions.
Solution Consultant
Solution Consultant advising financial institutions on AML/sanctions screening integrations, API-based data pipelines, and risk-intelligence analytics using Python/Java and cloud platforms.
Data Scientist
Build and deploy enterprise-scale AI/ML models to improve operational efficiency and customer outcomes, working with engineers and product teams to move solutions from concept to production.
AI Engineer (m/w/d)
Build and deploy AI models (ML, computer vision, LLMs) and integrate them into production systems using Python, PyTorch/TensorFlow, and cloud tools like Azure.