Machine Learning Reply
Technology
MachineLearningConsultant(m/w/d)
Neural analysis suggests this role is
optimal for entry candidates.
“Machine Learning Consultant (m/w/d) at Machine Learning Reply. Skills: Machine Learning, Data Science, Cloud Technologies, Data Engineering. Research new ideas. Prototype new ideas”
Industry & Context.
What They're Looking For.
Must Have
Experience in artificial intelligence, Experience in relational databases, Knowledge of SQL, Experience in at least one programming language, Experience using LLMs, Bachelor’s and Master’s degree, Quantitative background, Fluent in English, German at C1 Level
Nice to Have
Knowledge of visualization and frontend technologies, Experience in cloud infrastructure development, Experience in the consulting industry, Interest in project management
What You'll Do.
Create new value for clients
Implement customer-specific use cases
Guide clients through lifecycle
Apply skills to improve data usage
Develop data science use cases
Develop infrastructure projects
Coordinate infrastructure projects
How You'll Work.
Process & Methodology
Agile
Full Job Description
Company overview: Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new data-driven business models as well as optimize existing processes and products, with a focus on open-source and cloud technologies. We are looking for a skilled and motivated consultant to join our team. The ideal candidate should have a technical background and be able to provide support to our clients in using cloud-based solutions. We are looking for someone who has a solid understanding of Software Development, has an interest in Cloud-based Solutions, and shares our passion for Data and AI. Responsibilities : * Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries * Implement customer-specific use cases and guide our client through the entire lifecycle from creative workshops to implementation * Apply your skills to help our clients improve their data usage through data modeling & data visualization * Develop data science use cases * Develop and coordinate infrastructure projects (e.g., the introduction of cloud data lakes & data warehouses) * Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries What we offer you: * Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc .) * Broaden your skills through interdisciplinary work and training in the areas of data engineering, software engineering, cloud architecture, and data science * Benefit from industry-leading cooperations * Very active social program \- including training, conferences, team buildings, Reply Exchange, communities of p
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