Posted in: Other in Berlin | Posted: |
Salary 60.000 - 70.000 EUR per year
Requirements:
- -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
Responsibilities:
- 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
Technologies:
- GCP
- AWS
- Kubernetes
- Docker
More:
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.
