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familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability

Qualifications Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn. Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools

mandatory: 3 years of experience in data engineering and/or data architecture 2 years of experience with Python for ETL and automation (pandas, requests, API integration). 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL) 1 year experience with

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as click apply for full job details

Information Systems, CIS, or related field; and 1 year of experience including SQL, Python, SAS, R, AWS Redshift, AWS S3, Jupyter Notebook, MicroStrategy, NumPy, Pandas, Airflow, S3, Tableau, and ServiceNow. $127,234. Medical, Dental, Vision. Position requires travel/relocation to various unanticipated US locations. Send resume to: Digtinctive Inc.

people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter

people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter

models for scalability, performance, and accuracy. Mentor junior engineers and review code for quality and best practices. Required Skills & Experience Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure

Python Programming Functions, classes & object-oriented programming List comprehensions & generators Error handling Working with virtual environments & package management (pip, venv) Data Manipulation & Analysis Libraries: pandas, numpy (optional: polars) Data cleaning & preprocessing Handling missing values Grouping, merging, pivoting & aggregations SQL knowledge Software Engineering Best Practices Version control using Git Writing modular

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/

data labeling experts and technical teams Required Qualifications - Statistical Expertise : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming : Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis : Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/