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Senior Data Scientist
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
AI Engineer
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Senior Associate Data Scientist
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Senior Software Engineer - Machine Learning / AI Engineer
Senior ML/AI Engineer designing and deploying production-ready AI/ML systems in Python, collaborating across engineering, product, and infrastructure teams in Bengaluru.
AI Architect (m/w/d)
Designs enterprise-wide AI target architecture, governs AI solution standards for security and compliance, and integrates AI platforms (GenAI, LLMs, agents) with systems like SAP, ServiceNow, and Celonis.
Automation & AI Engineer
Hands-on AI & Automation Engineer designing, building and operating agentic AI solutions using Microsoft Foundry, Copilot Studio, Power Platform, Azure and orchestration frameworks like Semantic Kernel/LangChain within a large superannuation fund's London office.
Backend Engineer (AI/Python)
Build and maintain Python backend services and APIs for ML and Generative AI applications—including LLM, RAG, and AI agent workflows—deployed into cloud/GCC environments with a focus on Responsible AI controls and production support.
Senior AI Engineer
Design, develop, and deploy mission-critical AI systems using LLMs, Agentic AI frameworks, and RAG architectures for defence and government clients. Core tech: Python, LangChain/LlamaIndex, vector databases, Docker/Kubernetes, and cloud platforms (Azure/AWS/GCP).
Devops Engineer
DevOps Engineer supporting AI/ML platforms and MLOps environments, managing CI/CD pipelines, Infrastructure as Code with Terraform, and containerized workloads on Docker and Kubernetes across Azure or AWS.
Vice President - Data Science / Applied AI ML
Lead Data Science initiatives for CCOR Conduct, designing and deploying production-grade GenAI/ML solutions for risk and compliance use cases (AML, fraud, sanctions), managing the end-to-end model lifecycle with Python and various ML techniques.
Senior Associate - Data Science / Applied AI ML
Builds and deploys AI/ML models for financial crime/compliance risk detection, optimizing precision/recall and reducing false positives in production environments using Python, PyTorch/TensorFlow, and MLOps practices.
Principal Data Scientist - AI, MLOps & GenAI Lead
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
AI Architect - RDT Artificial Intelligence
Designs and oversees Roche’s enterprise AI platform, architecting scalable, secure, and compliant AI/ML infrastructure for global healthcare applications.
Machine Learning Associate Advisor - HIH - Evernorth
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
Senior Director, AI Architecture & Platform Engineering
Lead and scale Acosta Group's enterprise AI architecture and platform engineering, defining reference architectures and building reusable AI platform services across GenAI, agentic AI, and RAG using Azure, Azure AI Foundry, Kubernetes, and MLOps/LLMOps.
AI Engineer
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Data Scientist
Senior Data Scientist bridging business challenges with AI-driven solutions, specializing in Generative AI, LLMs, and MLOps to develop and deploy advanced models for clients in industries like finance, telecom, and retail.