Description

As technology continues to evolve, machine learning has become an integral part of many industries. At Signivis, we specialize in creating data-driven advertising solutions to help businesses stay ahead of the curve. As a Machine Learning Engineer, you will work alongside a team of experts to design, develop and deploy machine learning models that improve conversion rate, enhance user experience, and ultimately drive revenue growth.

We are seeking a talented individual who has a solid understanding of machine learning algorithms, Python programming, and has experience in creating recommendation systems. The ideal candidate will have a passion for innovation, continuous learning, and a desire to tackle complex challenges. You will be responsible for the entire machine learning model development cycle: data collection, analysis, training, model selection, deployment and monitoring.

If you are a self-starter who thrives in a fast-paced environment and is eager to work on cutting-edge projects, we would love to hear from you. Join our team of professionals and help us create a brighter future with machine learning.

Responsibilities

Design, develop and deploy machine learning models to solve real-world problems related to the advertising industry
Collaborate with cross-functional teams to understand business needs and apply machine learning solutions.
Collaborate with the team of developers to define, design, and implement new features.
Continuously evaluate and improve model performance and accuracy.
Write and maintain technical documentation.
Stay up-to-date with the latest advancements in machine learning technology and bring innovative ideas to the team.
Exhibit excellent communications skills and engage in technical discussions with peers becoming a trusted, technical advisor.
Engage in continuous learning and knowledge-sharing
Have some fun while doing it!

Knowledge & Experience

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5+ years of experience in machine learning engineering.
Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Hands-on experience with deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
Experience with cloud computing platforms such as AWS, Google Cloud, or Microsoft Azure.
Strong understanding of reinforcement learning, with experience in applying it to enhance decision-making and problem-solving in a business environment.
Open to learning other programming languages.
Familiarity with Linux OS is a plus.
Able to act independently as well as collaboratively.
Excellent written and verbal communication skills.
Able to prioritize work in a multitasking environment.
Not necessarily all the skills listed above but still a quick learner with a passion for programming.

* We reserve the right to contact only the selected candidates.

Please note that by applying to this role you give your consent regarding the processing of your personal information by Signivis. Find more details about our privacy policy here.

Why work for Signivis

Relaxed Environment

We provide a stress-free working place by eliminating deadlines and targets. A short 7 hour work schedule ensures a great work-life balance.

Competitive Salary

Your amazing skills should be matched by an attractive salary. We value the contribution to our company's growth and your salary will reflect that.

Awesome Workplace

We have created a balanced space where you'll love to spend time working on various projects. Every detail of the office has been perfected for your comfort and wellbeing.

Learning Opportunities

At Signivis we put learning first. Only by fully understanding the technologies you're using, the software tools and the advertising platforms we can improve and grow sustainably.

Free Coffee & Fruits

Mornings wouldn't be the same without our coffee machine. For the rest of the day, you'll be able to get free fruits, seeds, and refreshments from our cool kitchen.

Herman Miller Chairs

You'll be sitting on the most popular office chair ever made so you can say goodbye to back pain, overheated stand or uncomfortable position at the desk.

Sit-to-Stand Desks

All our desks can be electrically raised or lowered so you'll be able to alternate sitting and standing positions, for better comfort and health.

Open Air Terrace

Take a break from work on the private 80m² terrace where you can enjoy a fresh drink and the company of your team on a comfortable outdoor lounge sofa.