251 to 275 of 304 Permanent NumPy Jobs

software development Strong programming skills in Python and experience with production grade python code Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas Familiarity with Python's unit testing framework (currently using pytest) Experience collaborating and using Github Excellent communication and teamwork skills, with a strong attention More ❯

applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯

/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯

software development Strong programming skills in Python and experience with production grade python code Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas Familiarity with Python's unit testing framework (currently using pytest) Experience collaborating and using Github Excellent communication and teamwork skills, with a strong attention More ❯

or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Technical Skills: Advanced Python programming and expertise in AI/ML libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch). Strong knowledge of AI techniques, including Retrieval-Augmented Generation (RAG), reinforcement learning, and agent-based systems. Familiarity with data challenges and More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job More ❯

business needs and requirements Proven experience with data wrangling, statistical analysis, predictive modeling, and machine learning. Proficient in Python and commonly used libraries (Pandas, NumPy, Scikit learn, etc.). Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure AI services, Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.) LLM More ❯

pipelines. Requirements 2-5 years of experience in market risk, preferably within crypto, fintech, derivatives trading, or digital asset exchanges. Proficiency in Python (pandas, NumPy, matplotlib) for analytics and tool development. Experience with SQL and handling large structured/unstructured datasets. Familiarity with Git/GitHub and collaborative development workflows. More ❯

a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and data More ❯

this role, a candidate must possess the following attributes: Well versed in Python and SQL. Experience with Python libraries such as SciKit Learn, Pandas, Numpy are highly desirable. Experience with deep learning frameworks such as Pytorch or Tensorflow Understanding the full data science project life cycle, from initial problem statement More ❯

in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis More ❯

of software development experience, with a proven ability to work independently and innovate. Proficiency in Python, particularly for numerical computing and machine learning Particularly numpy, pandas (both must haves) Good working knowledge of a fast language such as C/C++/Rust. Understanding of production-level system design and More ❯

of software development experience, with a proven ability to work independently and innovate. Proficiency in Python, particularly for numerical computing and machine learning Particularly numpy, pandas (both must haves) Good working knowledge of a fast language such as C/C++/Rust. Understanding of production-level system design and More ❯

s or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power BI, Git & GitHub. Strong knowledge of Machine Learning Algorithms and respective theory. Ability to work within More ❯

software development Strong programming skills in Python and experience with production grade python code Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas Familiarity with Python's unit testing framework (currently using pytest) Experience collaborating and using Github Excellent communication and teamwork skills, with a strong attention More ❯

software development Strong programming skills in Python and experience with production grade python code Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas Familiarity with Python's unit testing framework (currently using pytest) Experience collaborating and using Github Excellent communication and teamwork skills, with a strong attention More ❯

Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯

from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving and More ❯

data Proven experience in ML pipeline development and product-aligned implementation Experience working in cross-functional teams (hardware and software) Technical Skills Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Solid understanding of signal processing (filtering, spectral analysis, feature extraction) Experience with ML classification models and deep learning frameworks More ❯

data Proven experience in ML pipeline development and product-aligned implementation Experience working in cross-functional teams (hardware and software) Technical Skills Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Solid understanding of signal processing (filtering, spectral analysis, feature extraction) Experience with ML classification models and deep learning frameworks More ❯

hebt bij voorkeur een minimum van 3 jaar ervaring in een rol als scientist of analyst; Je hebt een grondige kennis van Python (pandas, numpy, scikit-learn, ) en SQL; Ervaring met LLMs en LangChain is een grote troef; Kennis van SPSS is een plus; Je analytische geest en flexibiliteit zijn More ❯

strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). More ❯

or an MS with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with More ❯