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Senior Director, Enterprise Integrations and Data Engineering
Lead YETI’s data engineering and enterprise integrations, modernizing data warehouses, analytics platforms, and API-first integrations to enable AI/ML and scalable business growth.
Senior MLOps/Data Engineer Engineering LP PU Directions(Platform Products) Amsterdam, The Netherlands
Build and automate ML pipelines on Databricks, ensuring data/model observability, SLA/SLO compliance, and CI/CD for scalable AI services in a product-focused team.
Data Engineer
Build GeoAI models and data pipelines to turn agronomic sensor data into predictive tools for fruit growers, using Python, FastAPI, MongoDB, PostgreSQL, and Kubernetes.
Founding DevOps Engineer for AI Platform (Bologna)
Build and scale the cloud infrastructure and MLOps pipeline for an AI platform that reconstructs vehicle damages and crash dynamics using AWS/GCP and GPU-ready workflows.
Founding DevOps Engineer
Build and own the cloud infrastructure (AWS/GCP) and MLOps foundations for an AI-powered insurtech startup that automates vehicle damage analysis and accident reconstruction.
Senior Data & Ai Engineer
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Architect AI & Data Science
Senior AI & Data Science Architect designing and deploying scalable, secure AI solutions for a leading bank, leading modernization and MLOps initiatives.
Senior Engineer - Data Science
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Associate Architect - Data Science
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Associate Lead - Data Science
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Engineer - Data Science
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
AI Engineer
Build and deploy production-grade AI agents for a media company, designing agentic workflows, RAG systems, and LLM-powered tools to automate editorial, subscriptions, and advertising tasks.
Platform Engineer - Senior - US
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including Slurm clusters, OpenShift/Kubernetes, and NVIDIA stacks, while collaborating with data science and MLOps teams.
Senior Tech Architect - PE
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including distributed training, RAG pipelines, and NVIDIA stack tuning, while collaborating with MLOps and data science teams.
Senior Manager, Data Science and AI
Leads AI/ML architecture and development for Pfizer’s commercial analytics, designing RAG pipelines, agentic systems, and production-grade AI solutions to optimize marketing spend and business strategy.
Manager, Data Science and AI
Build and deploy production-grade AI agents and RAG systems to optimize Pfizer’s commercial marketing spend and workflows, using Python, cloud LLMs, and agent frameworks like LangChain.
Senior Manager, Data Science & Analytics (Media Mix Modelling)
Lead a team to build AI-driven marketing mix models and agentic systems that optimize ad spend across channels, using causal inference and generative AI to quantify ROI for Pfizer’s media strategy.
Senior AI Software Engineer - Level II
Build and deploy AI systems like RAG pipelines and agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Senior AI Software Engineer - Level I
Build and deploy AI-driven systems like RAG pipelines and custom agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.