8 open jobs on The Stack list NLP as a key skill. They come from 6 companies in 5 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names NLP in its key skills. We do not guess skills from the job title.
What you'll do: Design, develop, and deploy scalable, production-ready Generative AI solutions using LLMs and modern AI technologies. Collaborate with cross-functional teams to translate business challenges into practical AI applications while…
What they ask for: Requires at least 4 years of experience in Data Science or AI engineering with strong Python programming skills. Candidates must have hands-on experience with LLMs, cloud platforms, and the full AI development lifecycle.
What you'll do: You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models…
What they ask for: Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and build evaluations to turn new attack patterns into training data.
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Strong proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will build end-to-end data and model pipelines, including sourcing, training, and validating datasets for production. Additionally, you will optimize model performance through compression, distributed training, and reinforcement…
What they ask for: Candidates must hold a Bachelor's degree in a technical field and possess up to 2 years of hands-on experience. Strong programming skills in Python, familiarity with modern ML stacks, and experience with containerized workflows are…
What you'll do: You will own and evolve the machine learning and AI pipelines for the company's data product suite, including classical ML/NLP and modern LLM components. You will collaborate with data engineers to transition solutions from proof of…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 5 years of experience as a Data Scientist. Practical experience in bringing LLMs into production, along with proficiency in Python, Spark…
What you'll do: Develop and deploy end-to-end machine learning solutions using NLP and text generation to optimize hotel content and user experience. Analyze user behavior and text performance data to derive actionable insights that inform business…
What they ask for: Requires an advanced degree (MSc or PhD) in a quantitative field and 3+ years of practical experience deploying ML algorithms in production. Candidates must possess deep expertise in Python, SQL, and NLP/LLM technologies.
