1 to 25 of 208 scikit-learn Jobs

considered Technical Skills Proficiency in Python and/or R for AI/ML development Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, Keras) Knowledge of AI/ML algorithms and techniques (supervised/unsupervised learning, neural networks, NLP) Familiarity with cloud AI platforms (Azure ...

related field. Expert-level proficiency in Python (primary); experience with R is a plus. Hands-on experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents). Strong proficiency in data manipulation and analysis ...

Skills/Knowledge/Experience Data Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines ...

industry experience in data science, machine learning, or advanced analytics. Demonstrated expertise in Python or R, SQL, and modern machine learning libraries (e.g., scikit learn, TensorFlow, PyTorch, XGBoost). Strong background in statistical modeling, predictive analytics, and experimental design. Experience building and deploying production-grade ML models ...

practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps practices-including CI/CD for models, model registry/versioning, feature stores, orchestration ...

Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex ...

/CD pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance ...

production environment. Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc. Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). Experience with data preprocessing, feature engineering, and data ...

production environment. Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc. Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). Experience with data preprocessing, feature engineering, and data ...

Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless ...

between data and lived football judgement Essential Requirements Technical Skills Advanced proficiency in Python and the data science stack (pandas/polars, scikit-learn, NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating ...

core AI/ML concepts, including supervised/unsupervised learning, model training, evaluation, and deployment. Proficient in Python; experience with TensorFlow, PyTorch, or Scikit-learn; comfortable with SQL and big-data platforms. Familiarity with data preprocessing, feature engineering, and exploratory data analysis (EDA) techniques. Strong problem-solving skills ...

reporting and decision-making. Document code, models, and processes for transparency and reproducibility. Qualifications Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong skills in data manipulation (Pandas, NumPy, SQL). Experience with workflow orchestration (Airflow, Spark, or similar). 3-5 years of experience ...

stack products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure ...

practices for software development, including agile methodologies, CI/CD, and DevOps/MLOps workflows. Proficiency with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn), LLM deployment, cloud platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark). Strong ...

supervised and unsupervised learning, time-series modelling, NLP/LLMs, optimization) to real-world business problems Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

experience in lieu of degree) Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas) Proficiency using mathematical, statistical, or other data-driven analysis Proficiency with APIs; both development/update of internal APIs ...

essential. Essential qualifications: • Proven track record delivering AI or ML solutions in industry • Strong proficiency in Python and leading AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LangChain) • Experience with data engineering, MLOps, CI/CD, and containerisation (Docker, Kubernetes) • Knowledge of cloud AI/ML platforms (AWS, Azure ...

will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/ ...

senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows ...

learning technologies and best practices Skills and Experience • Strong programming skills in Python • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment ...

model serving for real-world applications used by real people. Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing ...

consulting incl software development with a strong track record of delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof ...

Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure including data pipelines, training/inference workflows ...

APIs (OpenAI, Anthropic, Bedrock, etc.) in production. Practical knowledge of evaluation methodologies for LLM systems. Familiarity with gradient boosting methods (XGBoost, LightGBM, scikit-learn) applied to structured/tabular data Strong understanding of data structures, algorithms, and distributed computing Preferred Skills Master's degree in Computer Science, Statistics ...