GenAI Data Scientist

MM Management Consultant; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading management consulting firm seeks a Senior Data Scientist to drive GenAI product developments. You’ll leverage NLP techniques and LLMs to enhance user-facing applications. The ideal candidate has 8+ years of experience, with skills in Python, machine learning, and NLP. This role offers remote work and requires collaborating with cross-functional teams to optimize product performance using cutting-edge AI technologies.

Qualificações

• Minimum of three years' experience in developing machine learning models.
• At least five years of Python experience.
• Proven track record of creating meaningful business impact.

Responsabilidades

• Architect the overall framework for GenAI products.
• Collaborate with product management and engineering.
• Identify trends to drive innovation in AI technologies.
• Mentor junior data scientists on GenAI methods.
• Lead initiatives to enhance product impact.

Conhecimentos

Python

Machine Learning

Natural Language Processing

Deep Learning

AWS

Formação académica

Advanced degree in mathematics, physics, computer science, or engineering

Ferramentas

PyTorch

TensorFlow

Langchain

Descrição da oferta de emprego

Job Details : Job Title : GenAI Data Scientist

Exp- Minimum 8 years

100% remote / Long Term Contract / EST hrs.

Job Role

As a Senior Data Scientist, you will translate the needs of our cross‑functional stakeholders into user‑facing applications that leverage NLP techniques and large language models (LLMs). As a Sr. Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross‑functional partners to develop production‑grade algorithms.

You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working.

Duties and Responsibilities

• Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. and develop and implement techniques to optimize model performance to meet specific product goals.
• Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementation.
• Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training.
• Mentor and develop junior data scientists in state‑of‑the‑art GenAI methods.
• Set technical vision and lead initiatives to accelerate product impact through cutting‑edge LLM innovations.
• Complete other responsibilities as assigned.

Required Skills and Qualifications

• Total Exp: 8 to 10 yrs+
• Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
• 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 3 years of 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).
• Experience operationalizing end‑to‑end machine learning applications.