Senior ML Engineer

Job Description
Tietoevry Create is inviting a talented professional to join our growing team as a
Senior Machine Learning Developer
to design and implement intelligent personalization systems for workplace automation and user experience enhancement. You will participate in ML architecture design, performance optimization, and end-to-end MLOps automation with a focus on contextual recommendations, experience personalization and behavioral pattern recognition.

Requirements

• Training Pipeline Design: Best practices for efficient model training, bottleneck detection, and resource utilization
• Personalization Systems: Context-aware recommendations, behavioral analytics
• MLOps Automation: End-to-end Azure ML pipelines(Kubernetes orchestration nice to have) and CI/CD integration
• Performance Optimization: Production-ready model serving, real-time inference, and scalable architecture design
• Framework Proficiency: PyTorch/XGBoost/LightGbm (or similar) production implementation with performance optimization

Core Competencies

• ML Training Pipeline Excellence: Design efficient training workflows, identify bottlenecks, optimize resource utilization
• User-Centric Model Design: Incorporate user feedback, behavioral patterns, and business requirements into ML solutions
• Production-Ready Development: Build scalable, maintainable ML systems with proper testing and monitoring
• Cross-Functional Collaboration: Work effectively with product teams, stakeholders, and end-users to deliver impactful solutions

Qualifications

• 5+ years of experience building end-to-end ML solutions and custom models
• Proven track record building real-time, context-aware ML systems

Key Responsibilities

• Solution ownership with strong focus on business needs
• Design and implement personalization algorithms for workplace automation
• Create behavioral analytics for user pattern recognition and prediction
• Establish Azure ML pipelines
• Build automated testing, monitoring, and CI/CD for ML models
• Optimize ML pipelines for performance, scalability, and cost-effectiveness
• Code reviews

Team Leadership

• Conduct technical reviews and establish ML engineering best practices
• Mentor team members on performance optimization and model design
• Collaborate with product teams to translate requirements into ML solutions
• Incorporate user feedback and business metrics into model iterations

Project Focus Areas
Intelligent Workplace Automation

Build ML systems for office exploration, personalization, and visual booking experiences:

• Office Intelligence: Automated information extraction, contextual recommendations, and navigation assistance
• Behavioral Personalization: Pattern recognition, proactive suggestions, and context-aware recommendations
• Experience & Qualifications: Intelligent assistance creation

Additional Information

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 )