Senior Machine Learning Engineer

Evolvice is a German nearshore service provider with branches in Egypt, Ukraine, Portugal and KSA. Founded in 2012, Evolvice has a strong technical background and business domain knowledge, combining software engineering and Agile methodology, leading its’ clients‘ path to digital transformation. Headquartered in the heart of the automobile industry, Stuttgart (Germany), our expertise stretches from automotive, healthcare, travel, financial, governmental, and insurance to manufacturing industries.

Our team is over 50 people including web (C#/.NET, Java, JS) & mobile (iOS/Android/Ionic) developers together with business analysts, project managers, QA, and support staff. Our corporate culture is characterized by agile processes, autonomous teams without hierarchies, as well as openness and transparency – both internally and with our clients. Currently, we are searching for a Machine Learning Engineer to join the big team of professionals. We are looking for an active, responsive, and devoted person.

Your Profile:

• 4+ years of experience in the field of LLMs.
• Python, additionally, knowledge of C++ or Java can be beneficial.
• good understanding of neural network architectures, activation functions, backpropagation, and deep learning frameworks.
• strong communication skills.
• fluent in written and spoken English.

Your Mission:

• Design and develop machine learning models and algorithms specifically tailored for LLMs.
• Implement appropriate ML algorithms, considering the unique characteristics of LLMs.
• Conduct data preprocessing and feature engineering to prepare the data for training.
• Train and retrain LLMs to optimize their performance.
• Optimize models for accuracy, efficiency, and scalability.
• Collaborate with software engineers to integrate machine learning solutions into applications.

We Offer:

• Financial stability.
• Interesting and challenging projects within professional self-managed teams.
• Friendly team and a comfortable working environment.
• Flexible schedule (8 —10 AM start) with the possibility to work assigned hours and/or adjust work schedule as requested by the manager.
• 21 working days paid vacation.
• Social insurance & Health insurance.
• Paid sick leave.
• English and German language classes.
• Sports and fitness reimbursement.

Why Work With Us:
We work as a self-driven team without complex management structures. Our teams make independent decisions without recommendations from the client. We nurture an open, transparent environment where we all enjoy our work.