You may apply to Tietoevry by selecting Apply and fill your application details to the form. You may also Apply by using LinkedIn and populate details to your application from your LinkedIn profile.Infopulse, part of Tietoevry Create, is inviting a talented professional to join our project as a Senior Machine Learning Engineer. Our customer is one of the Big Four companies providing audit, tax, consulting, and financial advisory services.This role offers an opportunity to work across domains including Hoteling/Office Operations, Social Networking, and Finance (Invoicing), contributing to impactful, integrated machine learning solutions.Areas of ResponsibilityBusiness Problem Solving: identify and define business problems and convert them into machine learning or data science tasks, proposing effective solutionsSDLC Automation: contribute to and design software development lifecycle (SDLC) automation, implementing CI/CD and MLOps best practicesModel Development and Optimization: architect, develop, train, evaluate, and optimize machine learning models to ensure cost efficiency and effectivenessProduction Scalability: ensure ML solutions are robust, reliable, and scalable for production environments with a focus on model inference and integrationArchitecture Design: lead the design of ML solution architectures from data extraction and preprocessing to model deploymentPipeline Management: oversee provisioning, monitoring, and management of ML pipelines, collaborating closely with DevOps to ensure seamless data flow and model performanceQuality Assurance: establish QA processes for ML solutions, including data validation, model testing, and pipeline monitoringQualificationsMachine Learning Expertise: strong foundation in machine learning algorithms and data science principlesExperience with Production-Ready ML: demonstrated experience in end-to-end machine learning solutions, particularly in production environmentsProgramming Skills: proficiency in Python, with experience in libraries such as Pandas, SciPy, scikit-learn, Matplotlib, and NumPyData Analysis Skills: strong knowledge of data analysis and preprocessing techniques using industry-standard tools and librariesWill be an AdvantageMLOps Knowledge: experience with MLOps tools and frameworks for model deployment and lifecycle managementCloud Experience: familiarity with cloud environments and services (e.g., AWS, Azure, GCP) related to machine learningBig Data Skills: experience working with big data tools like Spark, Hadoop, or similar technologiesDomain Knowledge: background in hoteling, social networking, or finance-related applications of machine learningPersonal SkillsAnalytical Thinking: ability to analyze complex problems and devise efficient, innovative solutionsCollaboration: willingness to collaborate with cross-functional teams including Product, DevOps, Backend, and DesignLeadership: capability of providing technical guidance and mentorship to encourage best practices and innovation within the teamAdaptability: ability to quickly adapt to new challenges, evolving technologies, and varying project demandsAttention to Detail: strong focus on producing high-quality, reliable solutions that meet production standardsAt Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com)