1,101 to 1,125 of 7,115 Python Jobs

logic using AWS Lambda to enhance contact centre functionality. Good knowledge of Agent Chat/Web Chat applications with implementation experience Comfortable working with JSON Files, C#, .Net and Python Familiarity with development and version control tools like GIT, GitHub, and Azure DevOps. Competence in CI/CD pipelines using Terraform or CloudFormation. Strong debugging, reporting, troubleshooting, and problem-solving More ❯

Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine Learning and statistical inference. Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation Ability More ❯

Continuously improving code quality, performance and maintainability - Working with near real-time, geospatial and AI-accelerated data applications Required qualifications to be successful in this role - Strong proficiency in Python, including OOP principles and clean, maintainable coding practices - Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity More ❯

English writing and speaking skills Docker/Kubernetes self-defense skills Basic knowledge of distributed system concepts and big data technology stacks Knowledge of at least one programming language (Python, C++, Java, Go) University degree (IT/math) or equivalent experience The following additional qualifications are a significant plus: Kubernetes knowledge and operating experience Experience with big data stack components More ❯

the team to communicate and clarify designs and requirements Requirements Required Qualifications: Ability to obtain and maintain a MRPT clearance Minimum of 10 years related experience. Deep Experience with Python Deep understanding of APIs, and familiarity with JSON, Web APIs, REST APIs, JSON-RPC, XML-RPC, RESTful practices, and GraphQL Experience with one of the major cloud service providers (AWS More ❯

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 Proficiency in data science, machine learning, and analytics, including statistical data analysis, model, and feature evaluations. Strong proficiency in NumPy & pandas. Demonstrated skills with Jupiter Notebook or comparable environments Practical More ❯

Virtual machines (i.e., VMware, VirtualBox, Hyper-V) Cloud computing infrastructure (i.e., Amazon AWS, Microsoft Azure) Information Assurance Compliance (i.e., STIGs, ACAS, ENS/HBSS) Automation and Scripting (i.e., Bash, Python, PowerShell, etc.) Experience with providing user support Desired Qualifications: DoD accreditation experience (i.e., A&A, RMF, ATO) Containerization (i.e., Docker, Kubernetes, OpenShift) Infrastructure-as-Code (i.e., Ansible, Vagrant, Terraform, CloudFormation More ❯

typically, but not limited to: Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical/Aeronautical Engineering) with some relevant work experience. Technical Skills Analytical scripting skills - Python preferred. Knowledge of and experience of using Machine Learning/AI and advanced statistics. SQL and Version Control (e.g. Github) experience useful. A keen interest in Data Science/Analytics More ❯

on machine learning, data platforms, or applied AI delivery • Proven track record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow, SageMaker, Vertex AI, Databricks) • Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD) • Ability to More ❯

software development methodologies, algorithms, data structures, and design patterns. Experience with web or mobile application development and related frameworks. Proficient in one or more programming languages - Java, C++, UniVerse, Python, or JavaScript. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services More ❯

Unix - Experience in automating, deploying, and supporting large-scale infrastructure - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with CI/CD pipelines build processes PREFERRED QUALIFICATIONS - Experience with distributed systems at scale - Experience in networking, storage systems, operating systems and More ❯

Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming languages (Python, Node.JS, Java, PHP, GO, C#, C++) Familiar with version control tools and proper branching techniques (Gitlab preferred) Experience working with data warehouses (Google Cloud BigQuery), data governance, payments and treasury More ❯

Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control More ❯

Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and More ❯

level stakeholder interaction. What we are looking for: - 5+ years of profound experience with Kubernetes - Advanced skills in cloud infrastructure platforms - 3+ years with programming languages such as Java, Python, or Go - Expertise in CI/CD pipelines - Proficient in containerizing applications and orchestrating them on platforms - Participates in strategic planning with the team - Experience leading agile methodologies Highly preferred More ❯

software development methodologies, algorithms, data structures, and design patterns. Experience with web or mobile application development and related frameworks. Proficient in one or more programming languages - Java, C++, UniVerse, Python, or JavaScript. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services More ❯

and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing unstructured data from various platforms. 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic More ❯

foundations and the ability to produce great code so don't be deterred if you don't have experience in the following: TypeScript: React.js (FE)/Node.js (BE) Java Python AWS Cloud Infrastructure Modulised Monolith Ferovinum provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics More ❯

using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more More ❯

are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and More ❯

experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Ability to write maintainable and secure code in Python Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills More ❯

Engineering: Solid understanding of MLOps principles and experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders More ❯

Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and More ❯

data storage solutions, data migration, and database management using Azure. Familiarity with Azure DevOps for CI/CD pipelines, automation, and collaboration. Proficiency in scripting languages like PowerShell or Python for automating tasks and managing Azure resources. In-depth knowledge of Azure networking components, including hub & spoke topology, vWAN, and Azure Firewall. Experience in designing and implementing Azure resources with More ❯

Engineering: Solid understanding of MLOps principles and experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders More ❯