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:
- Profound understanding of ML/DL fundamentals
- 0,5+ years of experience as DL Engineer
- Proficiency in Pytorch or Tensorflow - expertise in training, debugging and optimizing models.
- 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 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:
- Introduction (30-45 minutes).
- Take-home assignment (4 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
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