Position: ML+NLP Data Scientist
Company: CIGen
Experience required: 2y
English level: upper

Our company is driven by the core values that are professionalism, trust, and mutual respect.

We believe that the only way to achieve long-term business success is to build long-term trusted relationships with clients, employees, and partners.

Hence, the quality of our services is crucial!

Our team consists of active and open-minded professionals, who constantly grow and share their knowledge.

Flexible schedule, open management and a friendly environment are part of our culture.

We are Microsoft Silver Partner and going to become a Gold Partner in the coming months.

Currently, we are looking to add a **ML+NLP Data Scientist** to our team.

This position could be fully remote.

🔹 **Responsibilities:**
• Understand and maintain an existing ML+NLP (Natural Language Processing) solution
• Talk to business people to understand the new needs
• Improve the existing training model based on new findings
• Implement new features

🔹 **Requirements:**
• Working knowledge in at least one of the frameworks like Tensorflow/ Keras / PyTorch is a must.
• Proficiency in writing code in Python (at least 2 years)
• Familiarity with OCR technologies and information retrieval tasks from huge unstructured datasets
• Have some understanding of distributed systems and deployed services in AWS
• Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field
• English B2+

🔹 **Would be a plus:**
• Proficiency in python web frameworks like Django / Flask (assist in rapid prototyping or client POCs)

🍀** We offer:**
• Interesting and challenging projects;
• Flexible working hours to support your work-life balance;
• Transparent and flexible processes;
• Endless possibilities for your professional growth and continuous support from management;
• Cozy atmosphere,
...and much more!

We look forward to hearing from you!

🚀 Apply today!