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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.
Business Problem Solving: identify and define business problems and convert them into machine learning or data science tasks, proposing effective solutions
SDLC Automation: contribute to and design software development lifecycle (SDLC) automation, implementing CI/CD and MLOps best practices
Model Development and Optimization: architect, develop, train, evaluate, and optimize machine learning models to ensure cost efficiency and effectiveness
Production Scalability: ensure ML solutions are robust, reliable, and scalable for production environments with a focus on model inference and integration
Architecture Design: lead the design of ML solution architectures from data extraction and preprocessing to model deployment
Pipeline Management: oversee provisioning, monitoring, and management of ML pipelines, collaborating closely with DevOps to ensure seamless data flow and model performance
Quality Assurance: establish QA processes for ML solutions, including data validation, model testing, and pipeline monitoring
Experience with Production-Ready ML: demonstrated experience in end-to-end machine learning solutions, particularly in production environments
Programming Skills: proficiency in Python, with experience in libraries such as Pandas, SciPy, scikit-learn, Matplotlib, and NumPy
Data Analysis Skills: strong knowledge of data analysis and preprocessing techniques using industry-standard tools and libraries
MLOps Knowledge: experience with MLOps tools and frameworks for model deployment and lifecycle management
Cloud Experience: familiarity with cloud environments and services (e.g., AWS, Azure, GCP) related to machine learning
Big Data Skills: experience working with big data tools like Spark, Hadoop, or similar technologies
Domain Knowledge: background in hoteling, social networking, or finance-related applications of machine learning
Analytical Thinking: ability to analyze complex problems and devise efficient, innovative solutions
Collaboration: willingness to collaborate with cross-functional teams including Product, DevOps, Backend, and Design
Leadership: capability of providing technical guidance and mentorship to encourage best practices and innovation within the team
Adaptability: ability to quickly adapt to new challenges, evolving technologies, and varying project demands
Attention to Detail: strong focus on producing high-quality, reliable solutions that meet production standards
At 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)
Originally posted on Himalayas
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