Machine Learning Engineer (m/f/d)

As a leading expert for Digital Platform Building and Customer Experience Innovation, NETCONOMY is shaping the digital leadership of its clients. We help brands to build flexible and scalable digital platforms, with top-notch technologies by SAP, Google Cloud and Microsoft Azure. NETCONOMY has 20 years of experience and employs close to 500 professionals across Europe. By introducing and driving innovation initiatives around customer experience, we support clients on the road of expanding their core business in the digital world.

Over the past 20 years, NETCONOMY has grown from a startup to a 500-people team working across 10 European locations. We believe in the power of agile and cross-functional collaboration, bringing together people from various backgrounds to create outstanding digital solutions.

YOUR JOB
As a Machine Learning Engineer, you will play a crucial role in driving innovation and implementing cutting-edge machine learning solutions. Join our dynamic team and contribute to the development of intelligent systems that solve complex problems and enhance our business capabilities.

Your Job’s Key Responsibilities Are

• Designing and implementing machine learning models, solutions, and pipelines to address business challenges and opportunities
• Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust solutions
• Conducting research and evaluation of emerging machine learning techniques
• Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions
• Conducting direct client communication to understand their needs and tailor machine learning solutions accordingly

Your Skills
Essential Skills:

• 3+ years of experience in core machine learning work in the industry
• Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure), including ready to use AI services, AutoML approaches, and custom model development
• Proficiency in Generative AI/LLMs, with expertise in prompt engineering, embeddings, LangChain, vector databases, grounding, and other relevant concepts
• Demonstrated ability to work independently on PoCs
• Strong and assertive communication skills
• Proven experience in research and evaluation of machine learning technologies

Beneficial Skills

• Extensive knowledge of Cloud (Gen)AI offerings on GCP
• Knowledge of Docker and Kubernetes
• Familiarity with CI/CD processes
• A/B testing expertise
• Experience with implementing robust strategies for monitoring and maintaining machine learning models in a production environment
• Passion for keeping up with industry trends and advancements in machine learning

OUR OFFER
While we’re one company, each location has unique aspects and benefits. Here’s a glimpse of what to expect:

• Flexible Working Models: Early bird or night owl? Thanks to our flexible working models, you start your work day when and where it fits you best.
• Career Development & Onboarding: Start your journey in NETCONOMY with a structured onboarding and mentoring phase, and continue with individual training opportunities. Our training department, NETCADEMY, will find the best solution for you!
• Company Summit: Exchange professional and personal experiences at our annual in-house conference! One of the highlights of our company Summit is the vibrant networking environment it cultivates.
• Social Events: Join your colleagues and build new connections at our social events like pizza & games evenings, hiking, and Christmas party, and celebrate milestones together. It’s on us!
• Snacks and Wellbeing: Fuel your productivity and taste buds with our monthly meal allowance and discounts at partner restaurants.
• Mobility Support: Choose eco-friendly transportation! As we take our responsibility for the environment seriously, we support your climate-friendly transportation costs.

The actual salary depends on your qualifications and experience. What is also important to us is to pay our employees an internally comparable salary. For legal reasons, we need to disclose the minimum annual salary for full time employment as stated in the current collective IT agreement, which is € 52,136 gross/year for this position.