tms · 2 days ago

Senior Data Scientist

New York, NY

Contract

Onsite

Senior Level

9+ years exp

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Responsibilities

Architect the framework for GenAI products like search interfaces, bots, and summarizers.

Collaborate with product management and engineering leads to align on the technical roadmap.

Establish protocols for building fair and transparent LLM-based applications.

Design high-quality datasets tailored for LLM training.

Communicate effectively to technical and non-technical audiences.

Identify trends to drive innovation and evaluate new AI technologies.

Mentor and develop junior data scientists in GenAI methods.

Set technical vision and lead initiatives for product impact through LLM innovations.

Qualification

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Machine LearningPythonNLPDeep LearningPyTorchTensorflowBERTGPT-3LangchainModel GuardrailsBias DetectionPrompting TechniquesSemantic SearchCloud ComputingAWSTransformersSelf-Attention Mechanisms

Required

Minimum of nine years’ post-secondary education or relevant work experience

Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired

Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.

Minimum of five years’ experience with Python.

Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)

Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools

Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications

Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning

Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems

Deep understanding of underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs

Experience with cloud computing platforms and tools (AWS)