Description

Join our team and be part of an exciting journey in pushing the boundaries of technology to solve real-world problems. If you're passionate about machine learning, data science, and innovation, we encourage you to apply and become a key member of our team!

Your responsibilities

• Collaborate on the development and enhancement of machine learning models, including the creation of new models.
• Assist in transitioning our existing hive infrastructure to a Python-based API.
• Support smaller data science tasks for product-related initiatives.
• Assist with backend tasks, including shop connections and optimizing data warehouse backends.
• Utilize language models for natural language processing (NLP) and potentially vision models (like visual transformers), focusing on NLP being more critical.
• Demonstrate a basic understanding of AI concepts and principles and a profound knowledge of statistics and probability theory.
• Manage SQL databases and possess experience with warehousing (beneficial but not mandatory).
• Possess basic knowledge of libraries such as SciPy, NumPy, Scikit-learn, and either PyTorch or TensorFlow.
• Debug training processes using tools like TensorBoard and apply research findings to practical implementations.
• Conduct exploratory data analysis and visualization tasks.
• Utilize Jupyter Notebook/Lab for code development and experimentation.
• Potentially function as a merge-position, handling overlapping tasks within the team.

Your qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.
• Proven experience in machine learning model development and deployment.
• Proficiency in Python programming and its relevant libraries and frameworks.
• Strong understanding of data structures, algorithms, and statistical methods.
• Excellent problem-solving and analytical skills.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong communication skills and the ability to convey complex technical concepts clearly and concisely.
• Familiarity with Spark for handling large-scale data processing.
• Knowledge of R is a plus, but proficiency in Python is prioritized.

Recruiting Process

Initial interview with Belinda (45 min)

• Assess fit for company culture and motivation
• Evaluate personality, communication skills, and enthusiasm

Interview with Markus and Zoran (30 min)

• Focus on technical aspects
• Discuss specific projects and assess interest/aptitude

Coding challenge (online 1:1 with Markus)

• Tasks to showcase technical skills and problem-solving abilities
• Evaluate coding proficiency

Perks of working at Tracify

We aim to make your life as uncomplicated as possible. Therefore, feel free to enjoy full flexibility regarding your working hours and location. Work when and where you want - there are no limits.

Apart from that:

• Free choice of equipment + private usage
• Regular team events and workation
• 50€ voucher (Amazon) for social actions (Blood donation, Tafel, etc.)