Position: Strong Junior or Middle ML Engineer for RaccoonDoc IDP
Company: Innora LLC
Category: Data Science
Experience required: 1y
English level: intermediate

Are you fascinated by the limitless possibilities of Machine Learning and its applications in Natural Language Processing? Do you possess a deep understanding of Python programming, with over a year of hands-on experience in NLP? If you're eager to take on challenges that push the boundaries of technology and contribute to the innovative RaccoonDoc Intelligent Document Processing (IDP) solution, we invite you to join our team as a Machine Learning Engineer.

**Who we are?**
RaccoonDoc team is made up of experts and fans in artificial intelligence, machine learning, and data extraction. We're dedicated to staying on the cutting edge of technology and innovation, constantly researching and developing new features to enhance the capabilities of our IDP solution.
We enable the future.

**About Project**
RaccoonDoc – the first Ukrainian Intelligent Document Processing platform for extracting data from scanned and generated documents. We are building a hyper-growth SaaS startup following the best Silicon Valley practices, in Kyiv. Born in Ukraine, designed for the world.

**Whom are we looking for?**
We are currently looking for a self-motivated and ambitious ML engineer with experience in NLP.

**Requirements:**
— Proven experience of at least 1+ year in developing ML solutions with a focus on NLP applications.
— Programming skills in Python, including proficiency in popular libraries such as PyTorch, spaCy, NLTK, or Hugging Face Transformers.
— Demonstrated understanding of the Machine Learning Lifecycle, from data preprocessing and model training to deployment and maintenance.
— Preferred experience in LLM  or similar technologies, showcasing your ability to implement advanced linguistic concepts relevant to the RaccoonDoc solution.
.
**Nice to have:**
— Practical experience with cloud platforms like Azure or Amazon Web Services (AWS) for deploying ML models and managing infrastructure.
— Proficiency in web frameworks like Flask or FastAPI.
— Familiarity with containerization tools like Docker.
— Prior knowledge of object detection models and their applications would be a strong advantage.

**Responsibilities:** 
— Develop, implement, and maintain cutting-edge ML models and algorithms, with a specific focus on advancing the capabilities of the RaccoonDoc IDP solution.
— Collaborate with cross-functional teams to deeply comprehend business requirements and translate them into impactful ML solutions.
— Utilize your expertise in Python to create efficient and scalable code for data preprocessing, feature engineering, model training, and evaluation within the context of RaccoonDoc.
— Explore and integrate state-of-the-art NLP techniques to elevate our system's proficiency in tasks like text analysis, sentiment analysis, and more, all while enhancing the RaccoonDoc IDP offering.
— Research and experiment with various ML frameworks to identify the most suitable tools for optimizing the RaccoonDoc solution.
— Fine-tune models and optimize their performance to ensure seamless integration and operation within the RaccoonDoc environment.

**Benefits:** 
— No legacy code. The project is written using modern technologies and approaches
— Competitive compensation
— Young skillful team.