Lead Data Scientist (SME)

Key Role:

We are looking for a Lead Data Scientist with 4+ years of experience in Deep Learning, LLM programming and Statistical Modeling.

Requirements:

• Designing, implementing and optimizing deep learning models and frameworks for example TensorFlow, PyTorch and JAX.
• Investigate with state-of-the-art architectures for example Transformers, GPT and BERT to solve complex problems.
• In-depth knowledge of Agentic frameworks such as Crew AI and llama index etc.
• Proficient in deep learning frameworks such as TensorFlow, PyTorch or JAX.
• Intense programming skills in Python, with experience in libraries like NumPy, Pandas and SciPy.
• Expertise in statistical methods, including hypothesis testing, regression analysis and Bayesian inference.
• Experience with NLP tools and libraries for example Hugging Face, spaCy and NLTK.
• Familiarity with cloud platforms for example AWS, GCP, Azure and distributed computing.

Deep learning – We need resources who are strong in statistics, probability, optimization, calculus, bias, variance, overfitting, regularization, fairness, metrics, validation, research, ANN, DNN, CNN, RNN, LSTM, Transformers, Attention, DPO, PPO, Prompt Engineering