Deep Learning Engineer (NLP / CV)

Join our dynamic team as a Data Scientist/DL Engineer and drive innovation with cutting-edge ML/DL/AI solutions across diverse business domains. 

Who We Are Looking For:

Must have:

• 1+ year of experience as ML/DL Engineer

• Profound understanding of ML/DL fundamentals

• Proficiency in Pytorch or Tensorflow - expertise in training models, identifying and resolving issues and optimizing model performance.

• Understanding of deep neural networks - what loss function to use, how to fix exploding gradients, why do we need regularization

• Proven experience with either CV or NLP tasks and architectures - understanding the difference between T5 and BERT or ResNet/EfficientNet is required.

   

Nice to have:

• Experience in containerizing DL pipelines (Docker).

• Commitment to high-quality coding: docstrings, type annotations, understanding of tests.

• Commitment to tracking your work: experience with DVC, MLFlow, Tensorboard or similar for tracking datasets and experiments.

• Advanced English proficiency, strong communication skills, ability to easily and clearly articulate technical concepts and effectively engage with the clients.

• Experience with Generative AI: LLMs, Image Generation models, understanding adapters, RAG

   

What we offer:

• Variety of Projects: Engage with different areas like CV, NLP, and Tabular data, ensuring no two days are the same.

• Top-Tier hardware: servers with A6000/RTX 4090, access to high-end GPU instances on cloud.

• Environment: work with an experienced team passionate about the industry.

• Direct involvement with clients, opportunity to influence projects with your ideas and solutions.

• Opportunities for business trips, participation in conferences, PR of our work and your contributions.

   

Interview Process:

• HR interview

• Introduction (30-45 minutes).

• Take-home assignment (6-8 hours).

• Solution discussion (60 minutes).

• Offer.

   

How to Apply:

CV is essential, links to GitHub/Kaggle/your outstanding papers and projects are very welcome and highly encouraged