Solution/Delivery Architect (m/f/d) Data & AI
Munich, DE
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Motius
Motius is an R&D company, dedicated to supporting you in using the latest tech and creating a lasting return for your business: Product & Tech Innovation | Production Automation | Business Process Optimization | User ExperienceMotius - We R&D: Motius is an R&D company specialized in solving challenges with emerging tech to create longlasting value for customers. With the unique combination of a permanent core team and an interdisciplinary tech community, we reinvent R&D and develop the tech products of the future.
As Solution/Delivery (m/f/d) you are part of our R&D projects, in which you have your focus on exciting Data and AI topics. Find sample projects in our Motius Success Stories.
Your Role
- Solution/Delivery Architect with focus on Machine Learning (m/f/d) in our R&D projects with engineering teams of 2-5 people
- Designing and building real AI and data solutions for a wide range of industries and different use cases - from a first PoC and MVP to fully operating applications, based on cloud as well as on-premise setups
- Act as trusted advisor to clients and development teams, facilitating workshops, requirements gathering and technical discovery
- Collaborate with client stakeholders including business, data, and IT teams to align architecture with business goals, selecting the right toolstack based on industry standards and client constraints
- Mentoring and coaching (junior) engineers on AI & data topics, making sure we build high quality products by conducting code reviews or providing architectural guidance
- Constantly improving our Enterprise AI Business Unit and building up knowledge by introducing new tools, best practices or frameworks and sharing learnings from our projects
- Support sales with technical expertise, solution scoping, and proposal creation. Present solution architecture and roadmap to prospective clients. Contribute to thought leadership, whitepapers, and presentations to represent our Enterprise AI Business Unit offerings
Your Profile
- University degree in a technical discipline (like Computer Science, Software Engineering, Mathematics, Physics, etc.) ideally with AI or data specialization and at least 7+ years of industry track record in project based customer engagements
- Strong background in machine learning, deep learning, data science, and algorithmic problem solving
- Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks
- Proficiency in Python and SQL; additional experience with other languages is a plus
- Experience working with tools and frameworks such as Spark, Kafka, Airflow, MLflow, TensorFlow, PyTorch, Scikit-learn, etc.
- Excellent communication and interpersonal skills; ability to work with both technical and business stakeholders. Strong command of English language (both verbal and written), German is a big plus
- Comfortable with ambiguity and rapid changes common in early-stage product development, interest in learning new tech stacks
Your Benefits
- We enable: The chance to use newest technologies in our different R&D projects, an individual learning & development budget and a defined Talent Journey for your further growth
- We create: Huge impact on future products and insights from a broad range of industries, in an environment with flexible working hours and up to 50% remote work
- We explore: Regular Tech Discovery and Discovery Conference to stay close to new tech
- We are community-driven: Vibrant and interdisciplinary tech community as well as regular team buildings and company events
Motius is colorful - We embrace and value equal opportunities, inclusion, and diversity. Therefore, we welcome every application with pleasure!
Find more reasons why you should join Motius in our latest blog post and on Instagram @team_motius. Does that make you curious? Julia is happy to hear from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Computer Science Deep Learning Engineering GCP Julia Kafka Machine Learning Mathematics MLFlow MVP Physics Pipelines Python PyTorch R R&D Scikit-learn Spark SQL TensorFlow
Perks/benefits: Career development Flex hours Startup environment Team events
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