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 innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impactTogether, 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.Requirements7+ years of experience in backend software development with a focus on building scalable and maintainable solutionsStrong programming skills in Python, with a deep understanding of writing clean, efficient, and well-structured codeExperience with web frameworks, including FastAPI and developing RESTful APIsProficiency in version control using Git and maintaining structured pull requestsTest-Driven Development (TDD) experience: writing unit tests with Pytest and implementing integration tests to ensure robustness and reliabilityExperience with CI/CD pipelines and automated deployment practicesFamiliarity with DevOps concepts, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud infrastructure management (AWS, Azure, GCP)Experience in data engineering within Big Data ecosystems, including data pipelines and data integrationSolid understanding of software architecture and system design for high-availability applicationsKnowledge of fundamental computer science concepts, including data structures, algorithms, and problem-solvingAsynchronous programming skillsArchitectural thinking: be able to design servicesGood OOP and design patterns knowledgeExperience with OOP languages: C++, C# or JavaSQLAlchemy experienceExcellent communication skills and ability to work collaboratively within cross-functional teamsProficiency in English, both written and spokenNice to have skillsExperience with Machine Learning (ML): deploying and managing models, creating inference pipelines, and ML Ops practicesKnowledge of ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlowExperience with distributed computing (e.g., Spark/PySpark)Understanding of cloud ML deployment and model serving on platforms like AWS, Azure, or GCPExperience with Large Language Models (LLMs), model fine-tuning, and Retrieval-Augmented Generation (RAG) pipelinesExperience in developing enterprise-grade applications that leverage data-driven decision-makingResponsibilitiesDevelop, maintain, and optimize backend services and APIs using Python, ensuring high performance and scalabilityDesign and implement data processing pipelines to handle large volumes of data efficientlyCollaborate with cross-functional teams to understand client needs and translate them into practical featuresWrite clean, testable, and maintainable code, following best practices and coding standardsEnsure code quality through code reviews, unit testing (using Pytest), and integration testingImplement and maintain CI/CD pipelines, and ensure smooth deployment processesIntegrate 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 improvementsParticipate in team meetings, providing updates on progress and discussing upcoming tasksUtilize issue tracking and version control systems (like Git) to maintain high-quality software development processesStay updated on the latest technologies and apply innovative solutions where applicableNice-to-Have Responsibilities (ML Focus):Develop, refine, and utilize ML engineering platforms and components as neededEstablish and manage processes for data preparation, feature engineering, and predictionClosely monitor model performance and address any issues that ariseExplore opportunities to integrate ML workflows into backend systems when it adds valueStay informed about ML Ops practices and maintain pipelines for training and inferenceBenefitsAwesome projects with an impactUdemy courses of your choiceTeam-buildings, events, marathons & charity activities to connect and rechargeWorkshops, trainings, expert knowledge-sharing that keep you growingClear career path Absence days for work-life balanceFlexible hours & work setup - work from anywhere and organize your day your way