Architect, ML Engineering
vor 3 Wochen
About Us
Slalom is a next-generation professional services company creating value at the intersection of business, technology, and humanity. With our fiercely human approach, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. We go beyond traditional consulting with our local Slalom-Build-Hubs and design customized software, data, and cloud products as well as solutions to drive digital transformation for our clients. Our consultants and technology experts have the opportunity to work according to our local approach and support our clients in eight countries and 45 markets worldwide.
Since opening our first location in Germany in 2022, we have grown steadily. At our locations in Munich, Frankfurt and Düsseldorf, we now offer over 130 employees a dynamic, inspiring and inclusive environment for their professional development - true to our motto: Love your Work and Life
At Slalom you will work with exceptional ML and data engineers and technology leaders to help our customers to get the most value of machine learning. This role offers a unique opportunity to influence the future of digital products by integrating state-of-the-art machine learning technologies with modern data architectures. If you're passionate about building next-generation systems and thrive in a dynamic, collaborative environment, we'd love to hear from you.
What You’ll Do
Architect, design and implement innovative machine learning solutions for our customers across different industries and company sizes Work backwards from customer use case to decide if traditional ML, GenAI, or other approaches are the right option Design and implement MLOps frameworks to streamline the deployment, monitoring, and maintenance of ML models in production Continuously learn and master emerging data technologies and frameworks to remain at the forefront of the field Act as a mentor and knowledge source within the company and for clients, sharing insights and project learnings regularlyWhat You’ll Bring
You have over 3 years of demonstrated expertise in architecting, deploying and operating data-driven ML systems in a cloud environment Experience with feature stores & feature engineering pipelines, data ingestion & transformation, and machine learning workflow orchestration Hands-on experience with Docker, Git, AWS (e.g., Sagemaker, RDS, DynamoDB) or Azure (Azure ML, Azure SQL, Cosmos DB). Experience with deep learning frameworks and tools (TensorFlow, PyTorch, MLFlow, Kubeflow) When working on solutions involving both Data Engineering and ML Engineering, openness and flexibility to get involved on the Data Engineering activities where meaningful Proficient coding skills in Python, with a solid understanding of software development best practices Good communication skills with fluency in English; German proficiency at B1 level and openness to build German skills is a plusYour Benefits
Mobile and flexible working model, along with 30 days of vacation and 2 Impact Days for volunteering in your communityWe care about your future – with an annual contribution to our pension fund (4% of base salary)You will receive a monthly individual mobility allowance for travel by train, plane, bicycle, etc.An annual budget of around €350 for your well-being. Whether it's yoga, fitness classes, massages, or a donation to a good cause - you decideYou are important to us – in addition to coaching and other support programs, we offer comprehensive insurance plans for you and your familyMonthly smartphone allowance of €100 (gross) and the choice to choose your laptop (Apple or HP)Regular team events, get-togethers, and Lunch & Learns with the best colleagues in our central officesSlalom is an inclusive, equal-opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the Talent Acquisition team if you require accommodations during the interview process.
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