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Research and develop generative AI models and NLP systems using LLMs, embeddings, and RAG to build applied AI solutions.
Internship role designing and deploying generative AI and multi-agent systems for enterprise clients, using Python, cloud platforms, and GenAI frameworks.
Internship for a final-year student to design, build, and deploy data and AI solutions (pipelines, models, platforms) under mentorship, using Python, cloud, and GenAI tools.
Intern builds and tests components of AI agents and AWS modernization systems under mentorship, working with real customer data and cloud-native tools.
Senior Data Scientist at Bayer builds and evaluates generative AI and classical ML solutions to solve business problems across Finance, Supply Chain, HR, and other domains using Python, AWS/Azure, and Databricks.
Designs and builds large-scale data pipelines and AI/ML solutions for Apple’s enterprise systems, using cloud-native tools and generative AI frameworks to support real-time analytics and agentic workflows.
What’s in it for you as an employee of QFG? Health & wellbeing resources and programs Paid vacation, personal, and sick days for work-life balance Competitive compensation and benefits packages Work-life balance in…
Builds and integrates machine-learning models to improve health-insurance products, working with Python, SQL, AWS SageMaker, and R in a hybrid Cleveland-area role.
Software Engineer – AI/ML (3+ Years Experience) About the Role We are building next-generation AI-powered platforms that leverage Large Language Models (LLMs), Machine Learning (ML), NLP, and agentic workflows to…
Builds and deploys enterprise-grade AI solutions using Generative AI, LLMs, RAG, and AI agents, from design to production on cloud platforms.
Designs and deploys enterprise-grade AI/ML solutions, focusing on Generative AI, LLMs, RAG, and AI agents using Python, TensorFlow/PyTorch, and cloud platforms.
Build and lead a secure, cloud-native data platform at Salesforce that ingests security signals from multiple sources, integrates AI/ML for risk analysis, and automates remediation using Java, Spark, and AI tools.
Build and deploy production-grade generative AI systems, then train engineers on those solutions using hands-on workshops and mentoring.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Junior role in Deloitte’s Bari office building GenAI and agentic AI solutions for insurance clients, using Python, LLM frameworks, and cloud services.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
Builds ML and statistical models to detect threats, prioritize vulnerabilities, and enrich security operations using Python, SQL, and Databricks for large-scale cybersecurity datasets.
Lead a team of data scientists to build AI-powered analytics for The Home Depot’s supplier platform, integrating GenAI, LLMs, and predictive models to drive data-driven decisions.
Build and ship production-grade LLM-powered agents that automate software delivery tasks like design, coding, testing, and release, while engineering trust via evals, guardrails, and enterprise integrations.
Build AI agent consoles and dashboards for human oversight, approval, and telemetry in Equinix’s agentic software delivery platform using React, Python/Java/TypeScript, and enterprise-grade auth.
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