1 to 25 of 262 Pandas Jobs

LLMs, embeddings, retrieval, fine-tuning, evaluation metrics - Backend: FastAPI/Django/Flask, REST/gRPC, microservices - Frontend: React, Next.js (nice-to-have) - Data: Pandas, NumPy, data pipelines, ETL - Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI) - Databases: PostgreSQL, MongoDB, Redis ...

quantitative modelling bridging the gap 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 ...

space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ...

concepts and tools in technology. Located in the United States. Desired: Experienced in building data pipelines using libraries such as Pandas and PySpark. Experienced in charting libraries and data visualization Familiarity with building and deploying containerized code (Docker, Kubernetes) Financial industry experience Experience with AI modeling Technology We Use: TypeScript ...

years of experience in: Machine Learning Engineering Applied AI/ML development Production ML systems Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) Experience developing, training, and deploying ML models in real-world applications Solid understanding of the ML lifecycle (data training validation deployment ...

hands-on experience developing and deploying AI/ML solutions in production environments. Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow). Solid understanding of machine learning concepts, model selection, training, validation, and evaluation techniques. Experience working with Microsoft Azure services ...

learn) and LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents). Strong proficiency in data manipulation and analysis (Pandas, NumPy) and SQL (NoSQL experience beneficial). Demonstrated ability to translate complex technical outputs into clear, actionable, business-oriented insights and presentations for non-technical ...

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 in data engineering or applied AI. Bachelor ...

Profile Essential 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 ...

programming languages such as Python, C++, or 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 ...

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing ...

GitLab CI/CD, Artifactory) Infrastructure as Code experience with Ansible, CloudFormation, or Terraform Data science or machine learning exposure (Jupyter Notebooks, TensorFlow, PyTorch, Pandas, NumPy) AWS Certified Solutions Architect Associate or AWS Certified Cloud Practitioner CompTIA Security+ or equivalent IA baseline certification Experience with geospatial visualization libraries (OpenLayers, ESRI ...

supervised/unsupervised learning, neural networks, NLP) Familiarity with cloud AI platforms (Azure AI, AWS SageMaker, Google Cloud AI) Understanding of data manipulation libraries (Pandas, NumPy) Experience with SQL and database systems Knowledge of version control systems (Git) Familiarity with data visualization tools (Tableau, Power BI, Matplotlib) Core Competencies Strong ...

value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems ...

machine learning, data science, or RF signal processing Demonstrated proficiency in Python for ML and data science work - PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling Hands-on experience designing, training, and evaluating deep learning models ...

Python skills with a track record of writing clean, tested, production-grade code Hands-on experience with ML libraries like PyTorch, scikit-learn, and pandas Experience building and maintaining ML pipelines in production environments Solid SQL skills and familiarity with data engineering tools (Airflow, Spark, or dbt) The ability ...

design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Java, Spring Boot, Maven, and Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development • Frontend Development – Experience with ReactJS, Node.js, TypeScript/JavaScript, and modern web development practices ...

languages such as 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 ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

ingestion to 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 ...

statistics, computer science, or a related quantitative field preferred. Strong programming skills in Python , with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost). Demonstrated experience building, deploying, and iterating on production machine learning models in cloud ...

Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience. Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience. Demonstrated experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether ...

minimum of two (2) years of experience with Python frameworks such as FastAPI, Flask, or Django. Exposure to AI/ML libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Experience integrating AI APIs (e.g., OpenAI, AWS AI services, Azure AI, etc.). Experience with automation scripting ...

MLOps: Establish CI/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/ ...

stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation ...