Senior Consultant | MLOps

On-site

• Copenhagen, Sjælland, Denmark

Job description
Are you ready to bring models to production? Do you want to take projects to the next level and build production-worthy data solutions that guarantee scalable data-initiatives? Take clients projects to the next level with us!

What we do:

ADC is a Data & AI Consultancy driving the responsible adoption of data and AI to create real impact for organisations that matter. We support our clients achieve their goals through data-driven solutions with deep industry expertise, including Public & Society, Healthcare & Life Sciences, Financial Services, and Agriculture. Our top talent is driven to leverage their advanced data and AI knowledge and experience for the good, working with, instead of for, our clients. We draw on our collective approach to empower pragmatic and comprehensive consultants, through inclusivity, trust, and ownership. Operating currently in 3 countries, we aim to grow across Europe. Join us to be part of our growth journey.

This role requires you to be located in Denmark.

What you do:

• Deliver value within client projects by collaborating closely with data scientists, decision makers and end users to deliver robust, high-value and maintainable machine learning and data science solutions.
• Design and optimize end-to-end machine learning pipelines using technologies like Kubernetes, Docker, TensorFlow, and major cloud platforms (AWS, Azure, Google Cloud). Ensure scalability and efficiency across all stages of model deployment and monitoring.
• Design and implement robust MLOps monitoring frameworks to track the performance and health of machine learning models in production. Proactively consider model drift and develop retraining processes to maintain accuracy and effectiveness over time.
• Translate complex business requirements into technical solutions. Align machine learning strategies with business objectives. Maintain strong client relationships and provide sparring on choice of solutions.
• Stay updated with the latest in MLOps technology and evolving best practices.
• Collaborate with a team of professionals with whom you are building a fast-growing company.
• Be a brand ambassador by embracing our company values: quality and value, trust and ownership.

What you bring:

• 2 - 5 years of working experience in areas such as Data Engineering, Machine Learning or Software Engineering or similar
• A relevant MSc degree (e.g., Computer Science, AI, Software Engineering)
• Excellent English language and communication skills (Danish is a plus, not necessity)
• Experience and understanding of MLOps, DevOps, Cloud technologies (AWS/Azure), SQL, Git (Certifications are a big plus)
• Experience and interest in building end-to-end solutions by collaborating with the end users for a successful implementation
• Desire for working in consulting, intrinsic motivation for continuous learning and an ambition to grow
• Strong ethical framework and a strong sense of responsibility, accountability, ownership and helping others
  

What we offer:

• An open learning path where you will gain valuable experience through hands-on involvement and responsibility from day one
• A Development Coach that you will partner with to work on your personal development through coaching sessions
• Freedom to realize own initiatives and implement your ideas
• Projects in which you can immerse yourself in challenges to make a positive impact
• Possibility to get relevant certifications to become domain experts in the field
• A knowledge sharing culture where you can learn from your peers and guide others
• Our Collective Week during which we work on pro bono projects and make unforgettable memories together with the entire company
• A collective bonus
• Possibility to invest in the company once fitting the conditions*
• A welcoming office space in the centre of Copenhagen, with flexible working conditions
• A training programme focusing on your self-development, designed to transform people into trusted advisors, specialists, and ADC leaders and a knowledge sharing culture
• Social events such as Friday bars, sport activities…and many more

What to do next:
If you are inspired by the above, apply from the link below!
For questions, feel free to contact us from [email protected]

*Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC . We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further

On-site

• Copenhagen

Consultant