12 open jobs on The Stack list Classification as a key skill. They come from 6 companies in 4 countries, and 12 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Classification in its key skills. We do not guess skills from the job title.
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: You will collaborate with subject matter experts to define analytical approaches and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings…
What they ask for: Candidates should have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: Prepare, clean, combine, and explore datasets; develop and compare statistical or machine learning models; and contribute to prototypes, including language-model applications where appropriate. Evaluate results and limitations, document…
What they ask for: Applicants should have hands-on data science experience through work, research, an internship, or substantial projects, along with Python experience and a grounding in statistics and common machine learning methods. A relevant degree or…
What you'll do: Work with clients and subject matter experts to define analytical problems, prepare and analyse data, and develop and evaluate statistical, machine learning, forecasting, or language-model solutions. Present findings and limitations…
What they ask for: Candidates need hands-on Python and SQL experience, a sound grounding in statistics and machine learning, and practical familiarity with using large language models responsibly. They should be able to take ambiguous questions through to…
What you'll do: Train, debug, evaluate, and improve computer vision and 3D perception models for ADAS, covering capabilities such as object detection, classification, and instance segmentation. Build scalable data pipelines and use offline perception…
What they ask for: Applicants should have experience building and shipping computer-vision-focused deep learning systems, with strong applied machine learning engineering skills. They should be familiar with 3D perception concepts or pipelines and be…
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: You will collaborate with subject matter experts to define analytical problems and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings to…
What they ask for: Candidates must have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
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: The Data Scientist will own end-to-end machine learning projects from exploration to deployment, focusing on financial crime prevention and credit risk. They will collaborate with cross-functional teams to deliver customer value while…
What they ask for: Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess 2–4 years of practical experience in developing production-ready machine learning solutions. Proficiency in Python, SQL, and various modelling…
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…
