Machine Learning Engineer (Gen AI)
Machine Learning Engineer (Gen AI)
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1 Vacancy
Job Description
In this role youre the driving force behind developing new technologies into building blocks for the whole company to build their AI use cases. Youll use cutting-edge software and tools to ensure that these AI models not only work but are also scalable reliable and always available. Your daily responsibilities include:
- Developing and maintaining production-ready solutions to enable analytical models to generate insights from large volumes of (real-time) data.
- Operationalizing and integrating analytical capabilities into business processes IT and data platforms.
- Working on (Gen)AI projects which require you to be an independent contributor to our department.
- Ensuring the scalability reliability and robustness of data pipelines and solutions.
- Conducting in-depth research with domain experts and team members to understand business needs and impacts.
- Engaging in continuous collaboration with team members domain experts and business stakeholders to refine and implement the most effective solutions.
Qualifications :
Youre eager to learn and flexible on a technical and personal level. Youre analytically strong and carry a strong sense of responsibility. You enjoy engaging both technical and non-technical colleagues in your work. To be successful in this role you bring:
- At least 2 years of experience as an ML/Data/Software engineer or similar.
- Masters degree with a technical component like Computer Science Econometrics Mathematics Engineering etc.
- Knowledge of software engineering methodologies and best practices including coding standards code reviews version control CI/CD testing and security.
- Experience with Python additional programming languages (and SQL) would be a plus.
- Experience with Azure and Infrastructure-as-Code other cloud platforms would be a plus.
- Experience with ML libraries REST APIs microservices (Docker Kubernetes etc.)
- Proven experience building production-grade ML solutions.
- Affinity with implementation of Generative AI Applications.
Aanvullende informatie :
Of course as an employer we also have a lot to offer you. Heres what you can expect from us:
A gross monthly salary of at least 5038 and up to 7575 depending on your experience based on a 40-hour workweek.
A guaranteed 13th-month bonus partially paid out monthly and the remainder in January of the following year. Or you can allocate it to a FLEX & BOOST goal of your choice! Click here to read more.
Annual individual and collective salary increases in accordance with our collective labor agreement (CAO).
1500 per year in a personal development budget which you can use at your discretion for training coaching or courses.
Flexible vacation days: our employees can decide (in consultation with their manager) how to take their time off.
A healthy work-life balance (such as 2 days in the office 3 days working from home transitional leave or swapping public holidays for ones that align with your religious or cultural preferences).
A home office package to help you set up your workspace optimally including a mobile phone and laptop.
50% discount on our products and services so you can enjoy affordable internet calling and streaming.
Excellent travel expense reimbursement: full reimbursement of public transport costs or 0.23 per kilometer if you drive. Prefer cycling You can receive a bicycle allowance of 0.40 per kilometer.
Option to lease a bike with monthly contributions from KPN (for permanent contracts): from city bikes to e-bikes racing bikes to speed pedelecs you choose your ride.
Outstanding pension scheme: a total contribution of 23% of your pensionable salary with KPN contributing 16% and you 7%.
Want to know more Contact our recruiter Sabina at
At KPN we value smart and collaborative recruitment partnerships that contribute to our success. For this reason we do not accept unsolicited CVs or acquisition attempts in response to this vacancy.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
