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Machine Learning Engineers are specialists who focus on the development and implementation of machine learning (ML) and artificial intelligence (AI) in software applications. This role requires a combination of programming skills, mathematical understanding, and expertise in machine learning. They work on designing, training, and optimizing algorithms and models to gain insights and predictions from large datasets. Machine Learning Engineers select suitable ML models, collect and clean data, extract relevant features, and apply algorithms to train and evaluate models. The role also involves testing and optimizing models to ensure they perform well on real data. They work closely with data scientists, software developers, and subject matter experts to implement ML solutions in various application areas such as image processing, natural language processing, predictive analytics, and more. This role is critical in integrating AI and ML technologies into modern software applications and contributes to creating intelligent and data-driven solutions.
Benefits
Expertise and Network
Our 260 consultants offer expertise in almost every field. Our active network, which we are constantly expanding, and the more than 770,000 contacts in our database provide the solid basis for this.
Digital search process
Our digital, multi-channel search process enables us to find “hidden candidates”. This is supported by our usage and improvement of the best tools and processes.
Thanks to our complete, cross-channel screening of the entire market, we know the most important trends.
Excellent Service
Real empathy beats elbow mentality: Our incentive structure promotes collaboration among our consultants, across the boundaries of teams and countries. Always with the central focus: Client Happiness.
Quality
85% of the presented candidates are invited by our customers for an interview.
On average, we send 4 candidates until the position is successfully filled.
Speed
The first interviews with our customers take place within 20 days.
Successful placement of the position after 63 days - on average.
Consulting
Weekly Jour Fixe (status update based on KPIs, presentation of candidates, feedback and market observations) as well as detailed evaluation of candidates after a multi-level assessment.