Turing is the world’s leading AI-powered deep-vetting talent platform to match you with top LLM developers remotely. Scale your engineering team with the push of a button.
Maruti has 12+ years of experience specializing in developing products with Machine Learning, LLM, Computer Vision, Time Series Modeling, Predictive Modeling, and Deep Learning. He has managed multiple cross-team projects.
Javier is a machine learning professional certified by IMB. He has extensive experience in natural language processing, large language models, regression models and recommendations systems.
George is an experienced data scientist with a Phd. in Mathematics and he has strong problem-solving skills and experience building machine learning and LLM solutions. He has previous experience in working with GPT-based solutions and has a strong grasp of Python libraries.
Santiago is a data scientist with 3+ years of experience working with statistical models, simulations, and artificial intelligence. He is proficient in building applications powered by LLMs (Lanchain,OpenAi).
Arsenii is a data scientist with 5 years of experience in creating advanced solutions for computer vision, data analysis, and natural language processing.
Justin is an experienced engineer, developer, architect, and tech lead with 20+ years of experience in architecture, design, and building new products. He is proficient in GPT, NLP, machine learning, data science, Python, Cloud, and React among other skills.
Hire LLM developers that go above and beyond to deliver excellence. Leverage our well-curated guide on the skills to look for, interview questions, and more.Read article
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If you’re looking for a highly experienced LLM engineer, this section explores the role and responsibilities of an LLM developer.Large language models (LLMs) have emerged as a transformative force in optimizing business operations and boosting productivity. LLMs are cutting-edge artificial intelligence models trained on vast amounts of text data, enabling them to understand and generate human-like language. These models can generate text and comprehend complex programming languages, algorithms, and software development concepts.
An LLM developer is a software developer who specializes in working with large language models (LLMs). These developers deeply understand the underlying principles and techniques used in training and utilizing LLMs. They are proficient in programming languages and frameworks commonly used in natural language processing (NLP) tasks. LLM developers leverage the power of LLMs to fine-tune pre-trained models, adapt them to specific domains or tasks, and develop custom applications.
LLM developers are valuable assets for companies seeking to harness the capabilities of LLMs to enhance their software applications, automate tasks, optimize processes, and turbocharge productivity. Here are prominent reasons why you should hire LLM developers:
Turing offers deeply vetted, highly experienced LLM engineers with expertise in machine learning, NLP algorithms, programming languages such as Python, Java, C++, libraries such as Tensorflow and Pytorch, and cloud computing platforms such as AWS, GCP, and Azure. We also vet LLM developers for communication and seniority skills to ensure they integrate seamlessly with your team.
Turing has deployed highly qualified LLM trainers at scale on numerous projects involving training data generation for LLM coding tasks over the last 2 years. Our developers offer LLM fine tuning and reinforcement learning from human feedback (RLHF) capabilities with a high degree of efficiency and agility.
We also provide a fully managed team of LLM developers, trainers, and data scientists allowing researchers to focus solely on task design while Turing's management handles developer coordination and management. With our proficiency in ML, NLP, and LLMs, we have established ourselves as a leading vendor in delivering comprehensive LLM solutions and developers to meet our clients' varying LLM needs.
When you hire LLM engineers from Turing, you get the following benefits:
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If you’re looking for a highly experienced LLM engineer, this section explores the role and responsibilities of an LLM developer.
When hiring LLM developers, you must look for proficiency in the following skills:
Look for candidates with a solid understanding of NLP techniques, algorithms, and models. They should be familiar with text classification, sentiment analysis, named entity recognition, and machine translation tasks.
Candidates should have a strong foundation in ML concepts and techniques. Look for experience with deep learning architectures like recurrent neural networks (RNNs), transformers, and attention mechanisms. Knowledge of frameworks such as TensorFlow or PyTorch is highly recommended.
LLM developers should be proficient in programming languages commonly used in AI development, such as Python, Java, or C++. They should be experienced in writing well-structured, efficient, consistent, and maintainable code. Familiarity with relevant libraries and frameworks is a plus.
Look for candidates with experience working with large datasets and skilled in data preprocessing tasks. They should be adept at cleaning, transforming, and augmenting text data to prepare it for training LLMs.
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Candidates should have hands-on experience in developing and fine-tuning LLMs. They should be able to select appropriate architectures, train models on large datasets, and optimize their performance using techniques like retrieval augmented generation (RAG, and transfer learning, among others.
Look for candidates who understand how to evaluate the performance of LLMs using appropriate metrics such as BERTScore, MoverScore, perplexity, and BLEUScore, among others. They should be able to analyze and interpret evaluation results to improve the performance of the models.
Effective collaboration and communication skills are crucial for LLM developers. They should be able to work well in cross-functional teams, communicate technical concepts clearly, and actively participate in discussions and knowledge sharing.
Turing helps you find the right developers for your project
Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying the LLM developers who fit into your company's culture.
We will help you select the best talents and hire an LLM developer who will fit in your company culturally.
We verify if the candidate really wants to work at your company and is able to spend 5+ hours to prove it by rigorous tests. It helps us to see a developer's caliber.
Developers are asked LLM related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.
We provide explicit feedback on both the test task and the technical test after we have checked the developer's expertise.
You can interview the shortlisted developers to check if the candidate matches your requirements and is a good fit for your company.
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Whether you're an IT recruiter or a project manager, you know that finding top developers is critical to the success of your project. Here are some sample interview questions to use when looking to hire LLM developers:
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