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 Fortune 500 companies to drive growth and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, Qualcomm, and London Stock Exchange.Together, our team delivers solutions that make a difference. Learn more at www.intellectsoft.netOur customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently. 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 make quick, data-driven decisions to deliver cutting-edge solutions.Requirements5+ 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 security measures, along with expertise in cloud platform architecture.Familiarity with DevOps concepts, including containerization (e.g., Docker), 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 fundamental computer science concepts, including common data structures and algorithms, algorithms, and problem-solving.Excellent communication skills and ability to work collaboratively within cross-functional teams.Proficiency in English, both written and spoken.Nice to have skillsMachine 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 GCPExperience with Large Language Models (LLMs), model fine-tuning and Retrieval-Augmented Generation (RAG) pipelines.ResponsibilitiesCollaborate 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 (Docker, Kubernetes).Monitor application performance, identify bottlenecks, and implement improvements.Participate in team meetings, providing updates on progress and discussing upcoming tasks.Utilize issue tracking and version control systems (like Git) to maintain high-quality software development processesStay updated and apply innovative solutions where applicable.Benefits35 absence days per year for work-life balanceUdemy courses of your choiceEnglish courses with native-speakerRegular soft-skills trainingsExcellence Сenters meetupsOnline/offline team-buildingsOriginally posted on Himalayas

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