51 to 75 of 151 Permanent scikit-learn Jobs

with SQL, Python (NumPy, Pandas, SciPy, stats models), and data mining techniques. Familiarity with machine learning APIs, open-source models (e.g., LLMs, TensorFlow, Scikit-Learn), and prompt engineering principles. Experience with MS SQL Server, Oracle, Hadoop, or other Big Data platforms. ABOUT US J.P. Morgan is a global ...

Job Description Summary We are seeking a Lead Machine Learning (ML) Engineer with solid experience typically gained over at least 5 years in large multinational manufacturing environments, ideally within the energy, smart infrastructure, or industrial ...

culture, this could be an exciting match. Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning ...

time series forecasting, demand, traditional modelling, regression, numbers) Experience working on LLM's Demonstrable knowledge of Python AI libraries e.g., TensorFlow, PyTorch, Keras, Scikit-learn Software development experience in Python (with Django and Go) Demonstrated ability of productionising/deploying AI models Familiarity with the AWS cloud platform ...

including different large language models, embeddings, and libraries like LangChain or Llamaindex. You have strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with the AWS ecosystem. You have strong communication and collaboration abilities - working effectively in cross-functional teams. You have ...

including different large language models, embeddings, and libraries like LangChain or Llamaindex. You have strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with the AWS ecosystem. You have strong communication and collaboration abilities - working effectively in cross-functional teams. You have ...

unsupervised learning, Bayesian inference, time-series analysis). You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch). You have proven experience leading data science projects, making key decisions on technical direction ...

scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating ...

forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...