254 Python Framework Jobs - Page 11

Role & responsibilities Develop robust Python applications for data processing, analysis, and automation Design, develop, and deploy machine learning models for various use cases Utilize AI tools and libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV , etc. Implement and optimize algorithms for NLP, computer vision, or predictive analytics Work with APIs, REST services, and databases to integrate models with applications Collaborate with data scientists, frontend developers, and project managers Conduct testing, performance tuning, and model validation Maintain proper documentation and version control using Git Preferred candidate profile 1-4 years of experience in Python development Solid hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) Experience with AI tools for NLP, image processing, or predictive analytics Strong understanding of data structures, algorithms, and mathematical modeling

Job Description for Python Automation: Analyze manual test cases and convert them into automated scripts. Understand and enhance the existing automation framework. Develop and maintain GUI automation scripts using PyAutoGUI or similar tools. Integrate different Python modules to optimize automation processes. Implement and integrate OCR models (EasyOCR, etc.) for text recognition. Perform file operations and work with Python classes, methods, and modules. Handle database interactions. Debug and maintain the existing automation scripts for efficiency and reliability Automating FPS (Frames Per Second) measurement using graphics APIs (OpenGL, DirectX, Vulkan). Understand basic automation for gaming, content creation, and workstation applications. Required Skills: Strong proficiency in Python programming. Good debugging skills for identifying and resolving issues in automation scripts. Experience in manual-to-automation test case conversion. Hands-on experience with GUI automation (PyAutoGUI, Selenium, etc.). Familiarity with OCR models (EasyOCR.). Strong understanding of Pythons built-in modules for automation. Experience with database operations (SQL/NoSQL).

Location: Bangalore & Gurugram Mode of work: Hybrid Shift time: UK Skillset : Core developing, Python Developer, Distributed system, Microservices, architeure, Devops CI/CD pipelines, Optional - Any cloud Intererested can share updated profile to gramashetty@allegisglobalsolutions.com with basic details. We are currently seeking an experienced professional to join our team in the role of AVP-Financial Engineer Business: Finance Principal responsibilities Work closely with our modelling teams to understand in detail these models Support modelling in delivering these models within our software engineering best practice standards Ensure our models are efficient and scalable Implement best practice CI/CD pipelines to ensure we have stable production deployments Support the testing and BAU support as required throughout model deliveries. Utilise programming skills to automate and streamline software development processes related to global finance, optimising efficiency and minimising risks. Collaborate effectively with stakeholders across business units, IT, and data science to translate requirements into technical solutions, ensuring alignment with business goals. Maintain a strong understanding of current software engineering best practices, cloud technologies (if applicable), and financial markets to keep systems innovative and efficient. Provide strong analytical and problem-solving skills to troubleshoot and resolve technical challenges within the software financial engineering domain. Work independently and manage your time effectively to meet project deadlines for all developments. Communicate complex technical concepts related to software engineering clearly and concisely to both technical and non-technical audiences. Qualifications - External Proven experience in designing, developing, and deploying software applications. Strong understanding of software development lifecycle methodologies Experience with Python is essential including frameworks for web development Experience with building APIs and microservice architectures is essential Experience in DevOps and CI/CD pipelines is essential. Experience with Docker and Kubernetes is essential. Experience with large data processing technologies. Familiarity with cloud technologies (Azure, AWS, GCP). Familiarity with a compiled language like C++. Data & Analytics Skills: Experience in data manipulation and analysis techniques. Problem-Solving and Analytical Skills: The ability to identify technical challenges, troubleshoot issues, and develop effective solutions is crucial. Communication & Collaboration: Excellent communication skills to collaborate effectively with technical and non-technical stakeholders. Ability to translate business needs into technical solutions. Additional Skills: Understanding of financial markets and products is a plus. Experience with automation tools and other scripting lang Regards, Gopala BR HR Talent Acquisition Team

Software Engineer Python Developer Basic Qualifications Bachelors degree in relevant discipline (Computer Science, Engineering, IT, Information Systems or a related field, or equivalent experience) Bachelors degree in computer science, Engineering, or related field. 4+ years of professional experience as a Python Developer or Software Engineer. 1+ year of experience or strong exposure with cloud computing platforms, particularly AWS Strong proficiency in Python programming language and related frameworks/libraries. Experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with AWS services such as EC2, S3, Lambda, SageMaker, Comprehend and CloudFormation. Solid understanding of software engineering principles, algorithms, and data structures. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Roles & Responsibilities: Collaborate with cross-functional teams to define machine learning requirements and develop scalable solutions. Design and implement machine learning models and algorithms using Python libraries such as TensorFlow, PyTorch, or scikit-learn. Develop and maintain data processing pipelines for feature engineering, model training, and evaluation. Deploy machine learning models into production environments on AWS cloud infrastructure. Utilize AWS services such as EC2, S3, Lambda, and SageMaker to build and deploy scalable solutions. Implement monitoring and logging mechanisms to track model performance and system health. Optimize machine learning workflows for performance, scalability, and cost-effectiveness. Stay updated on the latest advancements in machine learning techniques, AWS services, and best practices. Participate in code reviews, pair programming, and knowledge-sharing sessions with team members. Nice to have: US Healthcare knowledge is an advantage. Experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices and tools for CI/CD automation. Familiarity with SQL databases and big data technologies (e.g., Hadoop, Apache Spark).