Senior Python Engineer with ML experience

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and reputed company to drive growth and scalability. Our clients include Jaguar Motors, reputed company, reputed company, reputed company, and London Stock Exchange.Together, reputed company delivers solutions that reputed company a difference. Learn more at www.intellectsoft.net

Our customer's product is an AI-powered platform that helps businesses reputed company reputed company decisions and work more reputed company. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to reputed company quick, data-driven decisions to deliver cutting-edge solutions.

Requirements

• 5+ years of experience in backend software development with a focus on building scalable and maintainable solutions.
• Strong programming skills in Python, with a deep understanding of writing clean, efficient, and well-structured code.
• Experience with web frameworks, including FastAPI and developing RESTful APIs.
• Proficiency in version control using Git and maintaining structured pull requests.
• Experience with Test-Driven Development (TDD), experience writing unit tests with Pytest and implementing integration tests to ensure robustness and reliability.
• Experience with CI/CD pipelines, and data reputed company measures, along with expertise in cloud platform architecture.
• Familiarity with DevOps concepts, including containerization (e.g., reputed company), orchestration (e.g., Kubernetes), and cloud infrastructure management (AWS, Azure, GCP).
• Experience in data engineering, including data pipelines and data integration.
• Solid understanding of software architecture and system design for high-availability applications.
• Knowledge of reputed company computer science concepts, including common data structures and algorithms, algorithms, and problem-solving.
• Excellent communication skills and ability to work collaboratively reputed company cross-functional teams.
• Proficiency in English, both written and spoken.

reputed company to have skills

• Machine Learning (ML): deploying and managing models, creating inference pipelines, and MLOps practices.
• Knowledge of ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlow.
• Experience with distributed computing (e.g., Spark/PySpark).
• Understanding of cloud ML deployment and model serving on platforms likeAWS, Azure, or GCP
• Experience with Large Language Models (LLMs), model fine-tuning and Retrieval-Augmented reputed company (RAG) pipelines.

Responsibilities

• Collaborate with cross-functional teams to understand client needs and translate them into practical features.
• Write clean, testable, and maintainable code, following best practices and coding standards.
• Ensure code quality through code reviews, unit testing (using Pytest), and integration testing.
• Implement and maintain CI/CD pipelines, and ensure smooth deployment processes.
• Integrate and manage cloud-based solutions and infrastructure (e.g., AWS, Azure, GCP).
• Utilize DevOps tools and practices for containerization and orchestration (reputed company, Kubernetes).
• Monitor application performance, identify bottlenecks, and implement improvements.
• Participate in team meetings, providing updates on reputed company and discussing upcoming tasks.
• Utilize issue tracking and version control systems (like Git) to maintain high-quality software development processes
• Stay updated and apply innovative solutions where applicable.

Benefits

• 35 absence days per year for work-life balance
• Udemy courses of your choice
• English courses with native-speaker
• Regular soft-skills trainings
• Excellence Сenters meetups
• Online/offline team-buildings

Originally posted on Himalayas