(Senior) Machine Learning / DevOps Engineer

RELEX Solutions
Full_time•Helsinki, Finland

📍 Job Overview

  • Job Title: Machine Learning / DevOps Engineer
  • Company: RELEX Solutions
  • Location: Helsinki, Finland
  • Job Type: Hybrid
  • Category: DevOps Engineer
  • Date Posted: 2025-06-12

🚀 Role Summary

  • Primary Responsibilities: Build and develop AI Platform Infrastructure on Azure, create Kafka integrations, modernize the AI Platform, and create best practices for other teams.
  • Key Technologies: Azure, Terraform, Python, Docker, Kubernetes, CI/CD, Agile Development, Big Data, Data Science, Test Driven Development.
  • Required Skills: At least 2 years of experience in infrastructure-related work, proficiency in Terraform, Python, Docker, Kubernetes, and CI/CD pipelines, experience in Agile development, proven experience in building production-grade solutions in Azure cloud, team player spirit, ability to perform autonomously, and fluent English communication skills.

💻 Primary Responsibilities

  • AI Platform Infrastructure Development: Build and develop AI Platform Infrastructure on Azure, ensuring scalability, security, and high availability.
  • Kafka Integration: Create and maintain integrations with Kafka to facilitate real-time data processing and event-driven architecture.
  • AI Platform Modernization: Modernize the AI Platform by implementing best practices, optimizing performance, and enhancing maintainability.
  • Best Practice Creation: Develop and document best practices for other teams to leverage the AI Platform's capabilities effectively.
  • Collaboration and Knowledge Sharing: Work closely with other teams to understand their needs, provide technical guidance, and foster a culture of continuous learning and improvement.

🎓 Skills & Qualifications

Education: A relevant degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Experience: At least 2 years of experience in infrastructure-related work, with a strong focus on cloud-based solutions and machine learning platforms.

Required Skills:

  • Proficiency in Terraform, Python, Docker, Kubernetes, and CI/CD pipelines.
  • Experience in Agile development methodologies.
  • Proven experience in building production-grade solutions in Azure cloud.
  • Strong problem-solving skills and a keen eye for detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a remote or hybrid team environment.

Preferred Skills:

  • Experience with Azure ML.
  • Knowledge of Test Driven Development.
  • Familiarity with big data projects and data science workflows.
  • Experience working with international teams and remote collaboration tools.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • A comprehensive portfolio showcasing your experience in infrastructure development, machine learning, and data science projects.
  • Detailed documentation of your projects, including code quality, version control, deployment processes, and server configuration.
  • Live demonstrations of your projects, highlighting user experience, performance optimization, and responsive design.

Technical Documentation:

  • Code quality documentation, including comments, inline documentation, and adherence to coding standards.
  • Version control and deployment processes, demonstrating your ability to manage and maintain large-scale projects.
  • Testing methodologies, performance metrics, and optimization techniques, showcasing your commitment to quality and continuous improvement.

💵 Compensation & Benefits

Salary Range: Competitive salary package based on experience and skills, with regional adjustments for the Helsinki area.

Benefits:

  • Flexible and hybrid working options to support work-life integration.
  • Comprehensive health and wellness initiatives.
  • Professional development opportunities, including training, mentorship, and clear career pathways.
  • Generous leave policies, including parental leave and paid time off, supporting both personal and professional priorities.

Working Hours: Full-time position with a hybrid work arrangement, allowing for flexible scheduling and remote work options.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail technology and optimization software.

Company Size: Medium to large-sized company with a global presence and international teams.

Founded: 2005, with a strong focus on innovation, growth, and continuous improvement.

Team Structure:

  • The RELEX AI Platform team is a centralized platform team focusing on providing machine learning and optimization capabilities to other teams.
  • The team works collaboratively to drive change, develop solutions, and serve multiple teams, fostering a culture of knowledge sharing and continuous learning.

Development Methodology:

  • Agile development methodologies, with a focus on iterative development, regular feedback, and continuous improvement.
  • Code reviews, testing, and quality assurance practices to ensure high-quality, maintainable, and scalable solutions.
  • Deployment strategies, CI/CD pipelines, and server management to facilitate efficient and reliable software delivery.

Company Website: RELEX Solutions

📝 Enhancement Note: RELEX Solutions prioritizes collaboration, respect, and flexibility, fostering an inclusive work environment where innovation thrives, and everyone feels valued. The company celebrates diversity and is committed to creating an inclusive environment for everyone, regardless of background, identity, or experience.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level to senior DevOps engineer role, with a strong focus on machine learning and optimization platforms.

Reporting Structure: The role reports directly to the RELEX AI Platform team lead, with close collaboration with other teams and stakeholders.

Technical Impact: The role has a significant impact on the AI Platform's capabilities, user experience, and business processes, driving innovation and enhancing RELEX Solutions' products and services.

Growth Opportunities:

  • Technical Growth: Expand your expertise in machine learning, optimization algorithms, and emerging technologies, working on cutting-edge projects and driving innovation.
  • Leadership Development: Develop your leadership skills by mentoring junior team members, contributing to architectural decisions, and driving technical strategy.
  • Career Progression: Progress to senior DevOps engineer or technical lead roles, taking on more complex projects and leading teams to drive RELEX Solutions' continued success.

📝 Enhancement Note: RELEX Solutions offers a dynamic work environment with ample opportunities for growth, learning, and professional development. The company encourages employees to take ownership of their careers, driving change and innovation in the retail technology industry.

🌐 Work Environment

Office Type: Hybrid work environment, with the option to work remotely or on-site, depending on individual preferences and project requirements.

Office Location(s): Helsinki, Finland, with additional offices in Finland, Sweden, Lisbon, the UK, and the US, fostering global collaboration and knowledge sharing.

Workspace Context:

  • Collaborative workspace with modern tools, multiple monitors, and testing devices available to support development and testing activities.
  • Cross-functional collaboration with designers, marketers, and other teams, driving user-centered design and innovative solutions.
  • Flexible work arrangements, allowing for remote work, flexible scheduling, and maintenance window support.

Work Schedule: Flexible work schedule, with regular team meetings, project deadlines, and maintenance window support.

📝 Enhancement Note: RELEX Solutions fosters a flexible and inclusive work environment, prioritizing work-life balance and employee well-being. The company encourages employees to maintain a healthy work-life balance, supporting both personal and professional growth.

📄 Application & Technical Interview Process

Interview Process:

  • Technical Assessment: A technical assessment focusing on your proficiency in infrastructure development, machine learning, and data science, with a strong emphasis on problem-solving, code quality, and system design.
  • Cultural Fit Assessment: An assessment of your cultural fit with the RELEX AI Platform team and the broader organization, focusing on your communication skills, collaboration, and adaptability.
  • Final Evaluation: A comprehensive evaluation of your technical skills, cultural fit, and potential for growth within the organization.

Portfolio Review Tips:

  • Portfolio Structure: Organize your portfolio to highlight your experience in infrastructure development, machine learning, and data science, with a focus on user experience, performance optimization, and responsive design.
  • Project Case Studies: Develop detailed case studies for your most impactful projects, demonstrating your technical expertise, problem-solving skills, and ability to drive innovation.
  • Code Quality Demonstration: Showcase your commitment to code quality, version control, and best practices, with a focus on maintainability, readability, and performance optimization.

Technical Challenge Preparation:

  • Technical Assessment Preparation: Brush up on your knowledge of Azure, Terraform, Python, Docker, Kubernetes, CI/CD, and Agile development methodologies, focusing on real-world scenarios and practical applications.
  • Problem-Solving Skills: Practice problem-solving techniques, with a focus on algorithm design, data structures, and system architecture, to tackle complex challenges and optimize performance.
  • Communication Skills: Prepare for technical interviews by refining your communication skills, with a focus on articulating technical concepts, explaining complex ideas, and presenting your work effectively.

ATS Keywords: Azure, Terraform, Python, Docker, Kubernetes, CI/CD, Agile, Machine Learning, Data Science, Infrastructure, Cloud, DevOps, Retail Technology, Optimization, Software Development, Software Engineering, Technical Lead, Senior Engineer, Mid-Level Engineer, Junior Engineer, Junior Developer, Junior DevOps Engineer.

📝 Enhancement Note: RELEX Solutions values strong communication skills, problem-solving abilities, and a proactive approach to learning and growth. The company seeks candidates who can thrive in a dynamic, collaborative environment and contribute to its continued success in the retail technology industry.

📌 Application Steps

To apply for this Machine Learning / DevOps Engineer position at RELEX Solutions:

  1. Submit your application through the application link provided in the job listing.
  2. Customize your portfolio to highlight your experience in infrastructure development, machine learning, and data science, with a focus on user experience, performance optimization, and responsive design.
  3. Optimize your resume for the role, emphasizing your technical skills, project highlights, and relevant experience.
  4. Prepare for technical interviews by brushing up on your knowledge of Azure, Terraform, Python, Docker, Kubernetes, CI/CD, and Agile development methodologies, focusing on real-world scenarios and practical applications.
  5. Research RELEX Solutions, focusing on the company's mission, values, and culture, to demonstrate your enthusiasm and commitment to the role.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with RELEX Solutions before making application decisions.

Application Requirements

The role requires at least 2 years of experience in infrastructure-related work and proficiency in technologies such as Terraform, Python, and Docker. A team player with fluent English communication skills is essential.