We now have a new requirement and are looking for a consultant colleague with the qualifications listed below. The position is part of our consulting business which means you will be employed by us and work either with clients or on internal projects and assignments.
As part of your application you may be presented to clients/partners as part of the recruitment process. If selected for the assignment you will be employed by us and work either with clients or on internal projects and assignments as part of our consulting business.
Job Description
- 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 usage and scale out to the comprehensive fashion network of the company
- 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 to write scalable maintainable well-designed and future-proof code.
- Develop solutions components services and frameworks to address common needs in AI/ML projects like feature reuse model traceability A/B test etc.
- Work in cross-functional agile team of highly skilled engineers data scientists business stakeholders to build the AI ecosystem within the company.
Your Profile (Must-have requirements)
Required cloud certification: GCP Azure or AWS.
- Have a BSc or MSc degree in computer science engineering or related field or equivalent practical experience.
- Have 4 years professional experience working in relevant role(s) for a Machine Learning Engineer.
- A hands-on person who loves coding and like applying software engineering practices to machine learning projects.
- Have experience in developing software products that have been successfully deployed to production.
- Have several years of coding experience in modern programming languages and strong background in Python programming i.e. 3 years.
- Have great experience with cloud technologies for ML development preferably Google Cloud and Vertex AI.
- Have solid experience in MLOps practices developing ML 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 high volume heterogeneous data (both batch and stream) and a solid understanding of data structures databases and data storage technologies.
- Familiar with agile ways of working team collaboration data-driven development reliable and responsible experimentation.
Application deadline:
About Us
We currently employ experienced consultants in areas such as System Development AI Machine Learning Testing Cloud Infra DevOps and IT Project Management.
Working at Deploja is something entirely different from working at an ordinary consulting companyand we are really proud of that. So what makes us unique
We simply offer more than just a high salary and greater freedom; thats just the beginning. With us youll find the work environment and opportunities you deserve. Welcome to Deploja where the grass is indeed greener!
Vi erbjuder dig fljande Valet r ditt!
Exciting assignments with our many clients. We focus on long-term projects which gives you the opportunity to create value for the client while also developing yourself.
A secure monthly salary together well agree on a base salary depending on your assignments.
Company car we encourage you to choose an electric car for a more sustainable future.
Occupational pension and great opportunities for salary conversion.
Vacation Would you like more than 30 days of vacation perhaps 60 days
Private health insurance accident insurance and life insurance for increased security.
Skills development you set your own budget and choose the training you wish to attend.
Quality of life Are you struggling to balance everyday life and wish to work a little less while still earning as much if not more
We handle applications continuously and due to the high workload its especially important to include a short motivation for the position explaining how you meet the requirements.