Unite.AI

JUNE 19, 2024

Master's Degree : Pursuing a Master's degree in Computer Science, Data Science, or a related field can further enhance your knowledge and skills, particularly in areas like ML, AI, and advanced software engineering concepts.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

ODSC - Open Data Science

FEBRUARY 13, 2025

He also demonstrated workflow automation using Koo.ai, highlighting how AI-driven knowledge extraction can enhance research dissemination. The workshop provided practical insights for AI engineers and content creators looking to streamline content production with intelligent automation.

Large Language Models 52

Large Language Models AI AI Automation 52

Unite.AI

NOVEMBER 10, 2023

However, that technology will be worthless to your company’s purpose if you do not have a properly defined AI implementation strategy. There is also a case when they hire a Junior ML Engineer, to save money compared to hiring a more experienced specialist.

AI 182

AI AI ML Chatbots 182

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. At the same time, the capabilities of AI models have grown. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

ODSC - Open Data Science

NOVEMBER 25, 2024

In-person on Wednesday, Nick Becker, Product Leader in GPU-accelerated Data Science at NVIDIA discussed the next phase of accelerated computing; Chip Huyen, Storyteller at Tep Studio discussed AI engineering; and Dr. Ali Arsanjani, the Director of Applied AI Engineering at Google Cloud discussed infusing and scaling generative AI into businesses.

Data Science 52

Data Science AI Engineer Prompt Engineering Machine Learning 52

ODSC - Open Data Science

FEBRUARY 21, 2025

Learn how to create benchmarks, catch hallucinations, select meaningful metrics, and monitor AI agent failure modes, turning evaluation into a key driver for success in your AI applications. This workshop provides hands-on experience in building adaptive AI applications that evolve with real-time feedback.

Data Scientist 52

Data Scientist Software Engineer LLM Neural Network 52

Pickl AI

JULY 14, 2023

Accordingly, following are the Artificial Intelligence Jobs that you should consider for the future: AI Engineer: The job role requires you to focus on the development of tools, systems and processes that can enable application of AI to real-world problems. The average salary of an AI Engineer stands at $120,017 annually.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Pickl AI

JANUARY 29, 2024

AI Engineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI. ML Engineer, Data Scientist, and Research Scientist are typical roles in Machine Learning. This forecast suggests a remarkable CAGR of 36.2% over the specified period.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Bugra Akyildiz

MARCH 24, 2024

In the post, they talk about advantages and diadvantages of Metaflow: Advantages User-friendly API: Metaflow offers a human-readable API that simplifies the process of building and managing ML workflows. Generates neighbors using auxiliary model and measures change in likelihood. More details and these approaches are outlined in the paper.

Machine Learning 52

Machine Learning Algorithm Data Scientist LLM 52

AWS Machine Learning Blog

DECEMBER 2, 2024

As LLMs continue to expand, AI engineers face increasing challenges in deploying and scaling these models efficiently for inference. These models have grown exponentially in size and complexity, with some now containing hundreds of billions of parameters and requiring hundreds of gigabytes of memory.

Large Language Models 103

Large Language Models Auto-complete Machine Learning LLM 103