76 to 100 of 141 Pandas Jobs

embedding models - Implement drift detection, model monitoring (AgentEvals experience a plus) - Document architecture and insights across projects Essential Skills & Experience: - Proven experience developing Chat Bots using: - Python, PyCharm, NumPy, Pandas - ML, deep learning, NLP, TensorFlow - SQL/NoSQL (MySQL, PostgreSQL), RDBMS design - GitHub, Jenkins, data modelling/wrangling - Experience in supervised/unsupervised learning, classification algorithms - Hands-on with model More ❯

temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing More ❯

Washington DC/Northern Virginia with occasional travel to client sites. A degree in Computer Science or a related field. 3+ years of hands-on experience with Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Proven experience deploying machine learning models into production environments. Proficiency with SQL/NoSQL databases, version control tools (e.g., Git), Docker, and Kubernetes. Strong More ❯

or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have. An interest and understanding More ❯

technologies OCR, Object Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving More ❯

degree in Computer Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases More ❯

the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving More ❯

building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval More ❯

experience in data science or a quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised More ❯

similar frameworks. Strong understanding of cybersecurity fundamentals, including network security, endpoint protection, and threat hunting. Experience with both security tools and AI-related tools. Knowledge of data science libraries (pandas, scikit-learn, NumPy) and big data technologies. Expertise in adversarial machine learning, model security, and AI red teaming. Experience with cloud security platforms such as AWS Security Hub, Azure Sentinel More ❯

experience in manipulating and querying large datasets with Q/KDB+. Comfort with time-series data and performing complex analytical queries is essential.Programming & Scripting: Proficiency in Python and the Pandas library for data analysis, cleansing, and automation tasks.Data visualisation: Demonstrated experience in designing and creating interactive dashboards using Tableau. Ability to translate complex data into clear, actionable visualisations for business More ❯

in manipulating and querying large datasets with Q/KDB+. Comfort with time-series data and performing complex analytical queries is essential. Programming & Scripting: Proficiency in Python and the Pandas library for data analysis, cleansing, and automation tasks. Data visualisation: Demonstrated experience in designing and creating interactive dashboards using Tableau. Ability to translate complex data into clear, actionable visualisations for More ❯

applications and familiar with the concepts of MCP servers, Agents, and Retrieval-Augmented Generation (RAG) systems. Experience with extract, transform, and load (ETL) data with using Python libraries (e.g. Pandas). Strong understanding of version control systems and CI/CD pipelines to streamline development workflows and proficient with tools such as Git, and Jenkins. Automated data analytics and reporting More ❯

requirements for data pipelines and feature engineering Promote best practices in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A More ❯

Experience designing and optimizing algorithms in Python and SQL. • Knowledge of Large Language Models (LLMs) and their operational applications. • Hands-on experience with Python data science and visualization libraries (Pandas, NumPy, Matplotlib, Seaborn). • Familiarity with Excel VBA for specialized analysis. • Prior experience in a lead or principal data science role within defense, intelligence, or similarly complex domains. More ❯

application specifications and documentation Articulate methodologies, experiments, and findings clearly in actionable way. Work in a fast-paced environment. REQUIRED QUALIFICATIONS: Candidates must have extreme fluency in numpy and pandas Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. 5+ years of Data Science development experience using Python More ❯

source integration layers. Qualifications A Bachelor's degree in Data Science, Computer Science, Statistics, or related field. Or, HS and 4 years of relevant experience. Demonstrated proficiency in Python (Pandas, NumPy), R, and SQL. Experience with visualization tools: Tableau, Power BI, Matplotlib, Seaborn. Solid understanding of statistical methods and hypothesis testing. Familiarity with AWS or other cloud platforms is a More ❯

looking for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed More ❯

looking for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed More ❯

analytics, or similar roles, with at least 2 years in fintech, payments, or financial services. Solid grounding in statistics, machine learning, and data engineering principles. Experience with Python (e.g., pandas, scikit-learn, seaborn) and SQL (Postgres preferred) for advanced data manipulation. Familiarity with the modern data stack (Databricks). Strong track record of delivering commercial and operational impact through data More ❯

measure the impact of retail changes. Python Proficiency: Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC. SQL Expertise: Expert-level skills in SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines. Big Data More ❯

not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯