Senior Machine Learning & AI Engineer

Danish Crown GBS Sp. z o.o. .

Kraków, Prądnik Biały
Hybrydowa
☁️ Microsoft Azure
Hybrydowa

Requirements

Expected technologies

Microsoft Azure

Our requirements

Who are we looking for?

As a passionate and experienced colleague, who thrive on building and deploying scalable models. Your expertise in Python, SQL, and Linux and Windows-based systems, combined with your familiarity with frameworks like TensorFlow and PyTorch makes you a key player in any team.

Solving problems and focusing on details are a fun part of your day, and you enjoy collaborating with Data Scientists to turn data into actionable insights. Always eager to stay ahead of the curve, you keep up with the latest advancements in AI and machine learning.

As a senior employee we expect you to share your expertise and knowledge to inspire and upskill your colleagues. If you're looking for a role where you can make a significant impact and grow professionally, this is the perfect opportunity for you.

Additional Qualifications:

Your educational background is not important, as you can just as easily be selftaught within this area. But relevant educations could be a Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. 3+ years of experience in machine learning, AI or data science roles. Fluent in English. Understanding the local language can be a plus. Experience with cloud platforms and version control. Experience in delivering models following MLOps principles and efficient and readable code following TDD-principles.

Your responsibilities

At Danish Crown, we believe that just as bacon is a key product in our portfolio, data is the essential ingredient that drives our innovation and success, helping us to optimize processes, predict trends, and maintain our leadership in the industry – and we’re now looking for an experienced Senior Machine Learning & AI Engineer to join our team and help us in this journey ahead of us.

As a Senior Machine Learning & AI Engineer at Danish Crown, you will play a pivotal role in designing, building, and maintaining scalable machine learning systems. You will collaborate with Data Scientists to transform data insights into actionable models and integrate them into our products and services. You will be involved in various projects, such as:

Commodity, livestock, and product forecasting. Object detection and tracking in real-time video feeds from production sites.

Success starts with a team

You will become part of the Data Science team within the Data, Analytics & AI space in the Global IT department. We work out of Denmark and Poland and the position can be filled in either country.

We work on multiple initiatives for various business units, with tasks around delivering data analysis and insights, modelling of complex data sources, and research and implementation of machine learning and deep learning models for tasks such as time-series forecasting, image recognition, or natural language processing, amongst others.

We are curious about the latest developments in our space, and therefore actively encourage everyone to have an innovative mindset and propose their ideas for further incubation.

Key responsibilities:

You’ll be part of helping Danish Crown become a data-first organization. Your main tasks will include:

Researching, implementing, and testing machine learning models for a wide variety of use cases, such as demand forecasting, commodity trading, factory optimization, or vision-based solutions. Designing, developing, and deploying data pipelines and machine learning systems following MLOps principles. Building end-to-end machine learning pipelines to train and deploy the models from development to production. Monitoring, maintaining, and optimizing cloud-based machine learning services running in Azure cloud. Staying up to date with the latest advancements in machine learning and AI technologies. Mentoring and guiding junior team members, fostering a culture of continuous learning and improvement.

Wyświetlenia: 3
Opublikowanadzień temu
Wygasaza 10 dni
Tryb pracyHybrydowa
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