Data Scientist

Tasks

• Build applied ML solutions with product engineering and business teams
• Collaborate to deploy validated prototypes
• Define evaluation metrics
• Design ML and deep learning models
• Evaluate and benchmark model architectures
• Frame hypotheses and develop proofs of concept
• Track experiments and manage model and data versioning

Perks/Benefits

• Collaborative cross-functional environment
• Professional development opportunities
• Remote work
• Work life development support

Skills/Tech-stack

Ablation Studies | Amazon Web Services | Azure | Benchmarking | CI/CD | Cloud Computing | Cloud platform | Computer Vision | Data Versioning | Deep learning | Docker | Experiment tracking | Fine Tuning | Google Cloud | Google Cloud Platform | Haystack | Hugging Face | Hugging Face Transformers | Image Tracking | Image classification | LLM Fine-tuning | Langchain | Llamaindex | Machine Learning | Model versioning | Object Detection | Prompt engineering | PyTorch | Python | Representation Learning | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | Transformers | Vision Transformers | Web Services