Senior Data Scientist (NLP and Computer Vision) in Brainly Sp. z o.o.

The  Answer Platform ML  team’s vision is to build the necessary systems to provide accurate, high-quality, and tailored answers to all the questions our users face in their daily educational journey.

The team is responsible for providing the machine learning capabilities to:

• Route textual questions and educational content to the appropriate service that provides the best answers.
• Increase the coverage of answers our users are provided with.
• Actively contribute to the answering services and individual components that build up our answering and search platform.
• Improve and introduce new functionalities to classify images and extract visual information to improve retrieval precision and personalize the answering results.
• Deploy, maintain, and own the models in production.

This is a  highly technical individual contributor role where you will work alongside a technical lead and other individual contributors within the team. The team consists of 2 Machine Learning Engineers and 2 Data Scientists, and you will be contributing heavily to the data science capabilities of our answering platform and  state-of-the-art NLP algorithms and LLMs using Python, HuggingFace transformers, PyTorch, Sagemaker, and other AWS cloud services . You will have partial ownership of the development of the models developed by the team. In contrast, the team at large has full ownership of all aspects of the model development lifecycle, from initial EDA to deployment and in-production monitoring.

WHAT IS REQUIRED

• 4+ years experience with Deep Learning models for NLP.
• Some experience in Computer Vision in production or research.
• Experience solving business problems using modern Machine Learning techniques.
• Strong python coding skills and experience writing easily maintainable code and unit tests whenever appropriate.
• Deep knowledge and understanding of theoretical foundations of modern Machine Learning, specifically Deep Neural Networks, either NLP/LLMs and/or Computer Vision.
• Machine Learning frameworks such as: Tensorflow or PyTorch, AWS Sagemaker, scikit-learn, Transformers (Huggingface ecosystem).
• Data analysis and visualization tools such as pandas, plotly, matplotlib or streamlit.
• Fluency in English.

WHAT IS PREFERRED

• Bachelor’s degree or above in STEM (science, technology, engineering, mathematics) or a similar field.
• Experience working with Parameter efficient finetuning of LLMs.
• Experience with modern Cloud Computing (preferably AWS) or equivalent deployment and infrastructure experience.
• Experience working with deployment of ML models to production.
• Experience working on both NLP and CV projects.
• Background and experience with cloud computing (AWS or equivalent for other cloud providers): EC2, SageMaker, S3, EKS, ECR, Lambda, Batch, StepFunctions.
• Experience with modern deployment of models, for example using torchserve.
• Familiarity with basics inData Engineering: SQL and NoSQL.
• Familiarity with Docker containers and deployment of models as part of the full Model lifecycle.

The  Answer Platform ML team’s vision is to build the necessary systems to provide accurate, high-quality, and tailored answers to all the questions our users face in their daily educational journey.

The team is responsible for providing the machine learning capabilities to:

• Route textual questions and educational content to the appropriate service that provides the best answers.
• Increase the coverage of answers our users are provided with.
• Actively contribute to the answering services and individual components that build up our answering and search platform.
• Improve and introduce new functionalities to classify images and extract visual information to improve retrieval precision and personalize the answering results.
• Deploy, maintain, and own the models in production.

This is a  highly technical individual contributor role where you will work alongside a technical lead and other individual contributors within the team. The team consists of 2 Machine Learning Engineers and 2 Data Scientists, and you will be contributing heavily to the data science capabilities of our answering platform and  state-of-the-art NLP algorithms and LLMs using Python, HuggingFace transformers, PyTorch, Sagemaker, and other AWS cloud services . You will have partial ownership of the development of the models developed by the team. In contrast, the team at large has full ownership of all aspects of the model development lifecycle, from initial EDA to deployment and in-production monitoring.

,[Researching and implementing novel techniques of text classification and text generation using modern approaches like LLMs., Exploring and analyzing multi-dimensional and unstructured data in order to find patterns and relationships., Working closely with the engineers in order to integrate models and algorithms with the larger system., Contributing to the definition of the team roadmap and deliverables., Effectively communicating results to direct stakeholders and the company at large., Working closely with product teams to design new features or improve the functionalities and user experience of the platform., Ensuring statistical and scientific rigor among the whole team.] Вимоги: Python, NLP, Deep learning, Computer vision, AWS SageMaker, Huggingface, AWS, LLMs, Graphs, Flyte, Research experience Бонуси та переваги: Sport subscription, Training budget, Private healthcare, Dental Care Package, Stock options, AskHenry, Mental Health Helpline.