Senior Machine Learning Engineer

Stockholm, Sweden

Aqilea

Welcome to Aqilea, a leading provider of IT and Industrial Services. Our diverse team with a strong technical background delivers exceptional solutions. Discover our innovative services and meet our amazing people with amazing skills

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Company Description

We are a consulting company with a bunch of technology-interested and happy people!

We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.

With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.

We are looking for you who want to grow with us!

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

Job description:

The primary tasks for a senior level Machine Learning Engineer in MLE area are:

  • Develop AI/ML software products including but not limited to explore large data set, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usageandscale out for a maintainable solution in the comprehensive fashion network of H&M.
  • Design, develop and maintain the large-scale data infrastructure required for the AI/ML projects.
  • Leverage on understanding of software architecture and software design patterns contributing to architectural decisions, technical roadmap planning, and to write scalable, maintainable, well-designed, and future-proof code.
  • Develop solutions, components, services and frameworks to address both specific and common needs in AI/ML projects, like feature reuse, model traceability, monitoring, A/B test, versioning, release, and serving of both online inference end-points and batch inference.
  • Work in cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders - to build the AI ecosystem within the company.

Required skills and experiences:

  • Have a BSc or MSc degree in computer science, engineering or related field, or equivalent practical experience.
  • Have 5+ years professional experience working in relevant role(s) for a senior level Machine Learning Engineer.
  • A hands-on person, with great software engineering skills, who loves coding, and like applying good software engineering practices and DevOps principals to machine learning and AI projects.
  • Have experience in developing software products that have been successfully deployed to production and scaled in a bigger organization, also ensuring product quality, security and performance.
  • Have several years of coding experience in modern programming languages, and strong background in Python programming, i.e. 4+ years.
  • Have great hands-on experience with cloud technologies for ML development, preferably Google Cloud Platform, and also including Vertex AI.
  • Have solid experience in MLOps practices, developing ML pipelines, data pipelines and deploying ML applications to production.
  • Have a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
  • Have experience handling and developing for high volume heterogeneous data (both batch and stream), preferably also including hands-on development in DBT, and have also a solid understanding of cloud data storage technologies and data quality.
  • Have experience from aligning and analyzing requirement; driving design solutions; breaking down work into stories and tasks; supporting and mentoring team members; and making sure organizational standards and best-practices are implemented and followed.
  • Familiar with agile ways of working, team collaboration and data-driven development.

tart: Immediate
Location: Stockholm
Form of employment: Full-time until further notice, we apply 6 months probationary employment.

We interview candidates on an ongoing basis, do not wait to submit your application.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Computer Science Consulting Data pipelines Data quality dbt DevOps Engineering Feature engineering GCP Google Cloud Machine Learning MLOps Pipelines Python Security Vertex AI

Perks/benefits: Career development

Region: Europe
Country: Sweden

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