Data Scientist III
Job Description
Key Deliverables
- Lead R&D initiatives in generative AI and novel model development.
- Collaborate with engineering and product teams to embed AI into products.
- Publish impactful research and drive academic engagement.
- Mentor research staff and cultivate a strong innovation culture.
Role Responsibilities
- Architect and implement next-gen generative models (LLMs, diffusion, etc).
- Stay ahead of AI advancements and propose innovation opportunities.
- Translate cutting-edge research into scalable applications.
- Drive efficiency in LLM operations and model inference at scale.
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
model selection , Nlp, Pyspark, Python, Machine Learning, Neural Networks, Google Cloud Platform, Deep Learning, LLM agents, Retrieval augmented generation, Embedding generation, Multi-modal models, Data Text Mining, prompt engineering, Vector Databases, finetuning, Classification, Deep Learning Algorithms
Skills:
causal inference , Multi-Armed Bandits (MAB), Markov Decision Processes (MDPs), Mixed-Integer Programming (MIP), constrained optimization , Tensorflow, Scipy, Pytorch, Pyspark, Python, CVXPY, Gurobi, Price Elasticity Modeling, Q-Learning, Policy Optimization, Budget Allocation frameworks, Bayesian Optimization, Contextual Bandits, Counterfactual Evaluation, Offline Reinforcement Learning, Uplift Modeling
Skills:
Deep Learning, Tensorflow, Machine Learning, Scala, XGBoost, Pyspark, Keras, Python, Random Forests, scikit-learn, MLlib, SVMs