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Director - GenAI & Agentic AI Practice (Azure AI / AWS AI)
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Senior Engineer - DevOps
Build and maintain cloud infrastructure, CI/CD pipelines, and reliability for AI systems using AWS, Terraform, and GitHub Actions.
Practice Manager – Cloud, DevOps & AI Practice
Leads a Cloud, DevOps, and AI practice, defining offerings, guiding pre-sales, and overseeing enterprise digital transformations using multi-cloud, CI/CD, and generative AI systems.
Forward Deployed AI Engineer
Build and deploy full-stack AI applications and agentic systems for enterprise clients, advising on AI roadmaps and codifying solutions into reference architectures.
Azure AI Engineer
Build and deploy production-grade AI/ML models on Azure for a healthcare programme, focusing on generative AI, computer vision, and agentic workflows integrated with clinical systems.
AI Agent Platform Product Manager
Owns the product roadmap for an AI Agent platform, defining lifecycle, orchestration, and integration features while collaborating with engineering and security teams.
AI/ML Architect
Design and deploy end-to-end AI/ML and Generative AI systems using Snowflake Cortex, vector search, and agentic workflows, integrating with major clouds and enterprise apps.
AI Engineer
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Data & AI Architect
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Healthcare AI/ML Engineer — MLOps & Platform
Build and deploy production-grade AI/ML and GenAI models for healthcare, integrating with EHR/PACS systems and ensuring secure, scalable MLOps/LLMOps operations.
Data & AI Architect
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
AI/ML Engineer
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Head of DevOps
Lead the DevOps and platform engineering team at 1inch, building AI-driven, autonomous cloud infrastructure and Kubernetes environments to power DeFi protocols and APIs.
Senior AI Research Engineer
Lead end-to-end training of large language models using domain-adaptive pretraining, fine-tuning, and reinforcement learning, while building robust data and evaluation pipelines for intelligent agent systems.
Senior ML & Data Engineer: LLMOps on Azure Databricks
Build and deploy LLM-driven AI/ML solutions for banking and insurance using LLMOps and Azure Databricks, including ML pipelines and ETL workflows.
Junior Data Engineer: Build Self-Governing AI Platforms
Build and maintain self-governing AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
AI/Data Engineer | Dutch Speaker | Netherlands
Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Senior Machine Learning & Data Engineer
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
Junior Data Engineer
Build and maintain data and AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
AI-Ready Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.